06-Network-Analysis/Solutions/01-Network-Analysis-Solutions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network Analysis — Solutions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this series of lessons, we're going to learn about network analysis. Network analysis will help us better understand the complex relationships between groups of people, fictional characters, and other kinds of things."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install NetworkX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: networkx in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (2.5)\n",
      "Collecting networkx\n",
      "  Downloading networkx-2.6.3-py3-none-any.whl (1.9 MB)\n",
      "\u001b[K     |████████████████████████████████| 1.9 MB 6.0 MB/s eta 0:00:01\n",
      "\u001b[?25hInstalling collected packages: networkx\n",
      "  Attempting uninstall: networkx\n",
      "    Found existing installation: networkx 2.5\n",
      "    Uninstalling networkx-2.5:\n",
      "      Successfully uninstalled networkx-2.5\n",
      "Successfully installed networkx-2.6.3\n"
     ]
    }
   ],
   "source": [
    "!pip install --upgrade networkx "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import networkx\n",
    "\n",
    "import pandas as pd\n",
    "pd.options.display.max_rows = 400\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *Game of Thrones* Network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The network data that we're going to use in this lesson is taken from Andrew Beveridge and Jie Shan's paper, [\"Network of Thrones.\"](https://www.maa.org/sites/default/files/pdf/Mathhorizons/NetworkofThrones%20%281%29.pdf)\n",
    "\n",
    "These researchers calculated how many times each Game of Thrones character appeared within 15 words of another character in *A Storm of Swords*, the third book in the series.\n",
    "\n",
    "| Network Element      | GOT |         \n",
    "| :-------------: |:-------------:| \n",
    "| Node    | GOT character | \n",
    "| Edge     | Mutually mentioned within 15 words      | \n",
    "| Float | Decimal Numbers      |  \n",
    "| Boolean | True/False     |   \n",
    "\n",
    "\n",
    "For example, the following sentence counts as an \"edge\" or connection between Jon Snow and Sam Tarly:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> \"**Arya** gave **Gendry** a sideways look. *He said it with me, like **Jon** used to do, back in Winterfell.* She missed **Jon Snow** the most of all her brothers.\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "got_df = pd.read_csv('../data/got-edges.csv', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
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       "      <th>15</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Jon</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Arya</td>\n",
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       "      <td>8</td>\n",
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       "      <td>Arya</td>\n",
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       "      <th>20</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Roose</td>\n",
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       "      <th>21</th>\n",
       "      <td>Arya</td>\n",
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       "      <td>46</td>\n",
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       "      <th>22</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Thoros</td>\n",
       "      <td>18</td>\n",
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       "      <th>23</th>\n",
       "      <td>Arya</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Balon</td>\n",
       "      <td>Loras</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>18</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>Illyrio</td>\n",
       "      <td>10</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Beric</td>\n",
       "      <td>Anguy</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Beric</td>\n",
       "      <td>Gendry</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Beric</td>\n",
       "      <td>Thoros</td>\n",
       "      <td>21</td>\n",
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       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Hodor</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Jojen</td>\n",
       "      <td>46</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Jon</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Luwin</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Meera</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Nan</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Rickon</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bran</td>\n",
       "      <td>Theon</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>Loras</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>Podrick</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>Lothar</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>Walder</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Bran</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Brynden</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Cersei</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Edmure</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Hoster</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Jeyne</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Lysa</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Robb</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Roose</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Roslin</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Sansa</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>Walder</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Bronn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Elia</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Pycelle</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Robert</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Shae</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>Varys</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Craster</td>\n",
       "      <td>Karl</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Daario</td>\n",
       "      <td>Drogo</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Daario</td>\n",
       "      <td>Irri</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Aegon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Belwas</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Daario</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Drogo</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Irri</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Jorah</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Kraznys</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Missandei</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Rakharo</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Robert</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Viserys</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>Worm</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Davos</td>\n",
       "      <td>Cressen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Davos</td>\n",
       "      <td>Salladhor</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Arya</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Beric</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Bran</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Catelyn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Cersei</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Jon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Rickon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Robb</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Robert</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>Sansa</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Eddison</td>\n",
       "      <td>Grenn</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>Brynden</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>Lothar</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>Roslin</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>Walder</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Gendry</td>\n",
       "      <td>Thoros</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Gilly</td>\n",
       "      <td>Craster</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>Elia</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>Oberyn</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>Jojen</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>Meera</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>Edmure</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Irri</td>\n",
       "      <td>Drogo</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Balon</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Edmure</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Elia</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Loras</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Qyburn</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Renly</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Robert</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Tommen</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Janos</td>\n",
       "      <td>Alliser</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Janos</td>\n",
       "      <td>Bowen</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Janos</td>\n",
       "      <td>Mance</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Kevan</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Loras</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Myrcella</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Oberyn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Tommen</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>Meera</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Aemon</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Alliser</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Craster</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Dalla</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Eddison</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Gilly</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Grenn</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Janos</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Mance</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Meera</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Melisandre</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Orell</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Qhorin</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Robert</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Styr</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Theon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Val</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>Jon</td>\n",
       "      <td>Ygritte</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>Lysa</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>Robert</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>Belwas</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>Daario</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>Drogo</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>Lancel</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>Varys</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>Loras</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Loras</td>\n",
       "      <td>Olenna</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>Roslin</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>Nan</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Cersei</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Hoster</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Marillion</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>Tywin</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Craster</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Dalla</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Gilly</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Qhorin</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Styr</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Val</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>Mance</td>\n",
       "      <td>Ygritte</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Meera</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>Davos</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Meryn</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>Missandei</td>\n",
       "      <td>Irri</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>Tommen</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>Ellaria</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>Mace</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>Podrick</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>Qhorin</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>Renly</td>\n",
       "      <td>Loras</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>Renly</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>Renly</td>\n",
       "      <td>Varys</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>Elia</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>Jorah</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>Robert</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>Brynden</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>Theon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Arya</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Balon</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Bran</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Brynden</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Edmure</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Hodor</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Jeyne</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Jon</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Lothar</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Ramsay</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Rickard</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Rickon</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Roose</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Sansa</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Theon</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Tywin</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Robb</td>\n",
       "      <td>Walder</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Aemon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Barristan</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Renly</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Thoros</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>Marillion</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>Roose</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Bowen</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Craster</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Eddison</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Gilly</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Grenn</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Janos</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Mance</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>Qhorin</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Beric</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Gendry</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Robert</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>Thoros</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Arya</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Bran</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Brienne</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Cersei</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Jon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Kevan</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Loras</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Lysa</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Marillion</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Myrcella</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Olenna</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Podrick</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Renly</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Rickon</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Robert</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Shae</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>Shae</td>\n",
       "      <td>Chataya</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Shae</td>\n",
       "      <td>Varys</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>Shireen</td>\n",
       "      <td>Davos</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Aemon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Balon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Davos</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Melisandre</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Renly</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>Samwell</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>Tommen</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Balon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Bronn</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Chataya</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Doran</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Elia</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Ellaria</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Ilyn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Janos</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Kevan</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Loras</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Mace</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Margaery</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Meryn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Oberyn</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Podrick</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Pycelle</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Renly</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Robert</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Sandor</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Shae</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>Varys</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Balon</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Brynden</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Cersei</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Gregor</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Joffrey</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Kevan</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Mace</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Oberyn</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Podrick</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Pycelle</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Robert</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Stannis</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Tommen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Val</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Varys</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>Walder</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>Val</td>\n",
       "      <td>Dalla</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>Varys</td>\n",
       "      <td>Pycelle</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>Tyrion</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>Walder</td>\n",
       "      <td>Lothar</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>Walder</td>\n",
       "      <td>Petyr</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>Walder</td>\n",
       "      <td>Roslin</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>Walton</td>\n",
       "      <td>Jaime</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>Qhorin</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Source        Target  Weight\n",
       "0           Aemon         Grenn       5\n",
       "1           Aemon       Samwell      31\n",
       "2           Aerys         Jaime      18\n",
       "3           Aerys        Robert       6\n",
       "4           Aerys        Tyrion       5\n",
       "5           Aerys         Tywin       8\n",
       "6         Alliser         Mance       5\n",
       "7           Amory        Oberyn       5\n",
       "8            Arya         Anguy      11\n",
       "9            Arya         Beric      23\n",
       "10           Arya          Bran       9\n",
       "11           Arya       Brynden       6\n",
       "12           Arya        Cersei       5\n",
       "13           Arya        Gendry      43\n",
       "14           Arya        Gregor       7\n",
       "15           Arya         Jaime      11\n",
       "16           Arya       Joffrey       6\n",
       "17           Arya           Jon       7\n",
       "18           Arya        Rickon       8\n",
       "19           Arya        Robert       4\n",
       "20           Arya         Roose       5\n",
       "21           Arya        Sandor      46\n",
       "22           Arya        Thoros      18\n",
       "23           Arya        Tyrion       5\n",
       "24          Balon         Loras       4\n",
       "25         Belwas     Barristan      18\n",
       "26         Belwas       Illyrio      10\n",
       "27          Beric         Anguy       4\n",
       "28          Beric        Gendry       4\n",
       "29          Beric        Thoros      21\n",
       "30           Bran         Hodor      96\n",
       "31           Bran         Jojen      46\n",
       "32           Bran           Jon      12\n",
       "33           Bran         Luwin       4\n",
       "34           Bran         Meera      54\n",
       "35           Bran           Nan      14\n",
       "36           Bran        Rickon      35\n",
       "37           Bran       Samwell      11\n",
       "38           Bran         Theon      11\n",
       "39        Brienne         Loras       7\n",
       "40          Bronn        Gregor       5\n",
       "41          Bronn       Podrick      19\n",
       "42        Brynden        Lothar       4\n",
       "43        Brynden        Walder       5\n",
       "44        Catelyn          Bran       4\n",
       "45        Catelyn       Brienne       7\n",
       "46        Catelyn       Brynden       8\n",
       "47        Catelyn        Cersei       4\n",
       "48        Catelyn        Edmure      16\n",
       "49        Catelyn        Hoster       9\n",
       "50        Catelyn         Jaime      19\n",
       "51        Catelyn         Jeyne      10\n",
       "52        Catelyn          Lysa       8\n",
       "53        Catelyn         Petyr       5\n",
       "54        Catelyn          Robb      43\n",
       "55        Catelyn         Roose       4\n",
       "56        Catelyn        Roslin       6\n",
       "57        Catelyn         Sansa       8\n",
       "58        Catelyn       Stannis       4\n",
       "59        Catelyn        Tyrion       5\n",
       "60        Catelyn        Walder      19\n",
       "61         Cersei       Brienne       5\n",
       "62         Cersei         Bronn       4\n",
       "63         Cersei          Elia       4\n",
       "64         Cersei        Gregor       6\n",
       "65         Cersei          Ilyn       7\n",
       "66         Cersei         Jaime      36\n",
       "67         Cersei       Joffrey      23\n",
       "68         Cersei         Meryn      10\n",
       "69         Cersei       Pycelle       4\n",
       "70         Cersei        Robert      16\n",
       "71         Cersei        Sandor       6\n",
       "72         Cersei          Shae       4\n",
       "73         Cersei        Tyrion      46\n",
       "74         Cersei         Varys       4\n",
       "75        Craster          Karl       6\n",
       "76         Daario         Drogo       4\n",
       "77         Daario          Irri       5\n",
       "78       Daenerys         Aegon       8\n",
       "79       Daenerys     Barristan      20\n",
       "80       Daenerys        Belwas      26\n",
       "81       Daenerys        Daario      14\n",
       "82       Daenerys         Drogo      18\n",
       "83       Daenerys          Irri      17\n",
       "84       Daenerys         Jorah      47\n",
       "85       Daenerys       Kraznys      10\n",
       "86       Daenerys     Missandei      26\n",
       "87       Daenerys       Rakharo       7\n",
       "88       Daenerys       Rhaegar      12\n",
       "89       Daenerys        Robert       5\n",
       "90       Daenerys       Viserys       8\n",
       "91       Daenerys          Worm      14\n",
       "92          Davos       Cressen       4\n",
       "93          Davos     Salladhor      16\n",
       "94         Eddard          Arya      18\n",
       "95         Eddard         Beric       8\n",
       "96         Eddard          Bran      15\n",
       "97         Eddard       Catelyn       5\n",
       "98         Eddard        Cersei       6\n",
       "99         Eddard         Jaime       6\n",
       "100        Eddard           Jon       8\n",
       "101        Eddard        Rickon       8\n",
       "102        Eddard          Robb      13\n",
       "103        Eddard        Robert      10\n",
       "104        Eddard        Sandor       5\n",
       "105        Eddard         Sansa       6\n",
       "106       Eddison         Grenn       8\n",
       "107        Edmure       Brynden       7\n",
       "108        Edmure        Lothar       4\n",
       "109        Edmure        Roslin      16\n",
       "110        Edmure        Walder       9\n",
       "111        Gendry        Thoros       7\n",
       "112         Gilly       Craster      17\n",
       "113        Gregor          Elia       9\n",
       "114        Gregor          Ilyn       7\n",
       "115        Gregor         Meryn       7\n",
       "116        Gregor        Oberyn      24\n",
       "117        Gregor        Sandor      12\n",
       "118         Hodor         Jojen      35\n",
       "119         Hodor         Meera      41\n",
       "120        Hoster        Edmure       9\n",
       "121          Irri         Drogo       7\n",
       "122         Jaime         Balon       6\n",
       "123         Jaime     Barristan       4\n",
       "124         Jaime       Brienne      88\n",
       "125         Jaime        Edmure       5\n",
       "126         Jaime          Elia       4\n",
       "127         Jaime        Gregor       6\n",
       "128         Jaime       Joffrey      15\n",
       "129         Jaime         Loras      16\n",
       "130         Jaime         Meryn      11\n",
       "131         Jaime        Qyburn      11\n",
       "132         Jaime         Renly       7\n",
       "133         Jaime        Robert      17\n",
       "134         Jaime       Stannis       5\n",
       "135         Jaime        Tommen       8\n",
       "136         Jaime        Tyrion      31\n",
       "137         Janos       Alliser       9\n",
       "138         Janos         Bowen       5\n",
       "139         Janos         Mance       4\n",
       "140       Joffrey        Gregor       5\n",
       "141       Joffrey          Ilyn       4\n",
       "142       Joffrey         Kevan       8\n",
       "143       Joffrey         Loras       7\n",
       "144       Joffrey      Margaery      28\n",
       "145       Joffrey         Meryn       5\n",
       "146       Joffrey      Myrcella       5\n",
       "147       Joffrey        Oberyn       4\n",
       "148       Joffrey        Sandor      14\n",
       "149       Joffrey       Stannis      10\n",
       "150       Joffrey        Tommen       9\n",
       "151       Joffrey        Tyrion      54\n",
       "152         Jojen         Meera      33\n",
       "153         Jojen       Samwell      11\n",
       "154           Jon         Aemon      30\n",
       "155           Jon       Alliser      15\n",
       "156           Jon       Craster       7\n",
       "157           Jon         Dalla       6\n",
       "158           Jon       Eddison       4\n",
       "159           Jon         Gilly       9\n",
       "160           Jon         Grenn      25\n",
       "161           Jon         Janos       8\n",
       "162           Jon         Mance      69\n",
       "163           Jon         Meera       4\n",
       "164           Jon    Melisandre       7\n",
       "165           Jon         Orell       6\n",
       "166           Jon        Qhorin      31\n",
       "167           Jon   Rattleshirt      20\n",
       "168           Jon        Robert       5\n",
       "169           Jon       Samwell      52\n",
       "170           Jon       Stannis       9\n",
       "171           Jon          Styr      16\n",
       "172           Jon         Theon       8\n",
       "173           Jon           Val      12\n",
       "174           Jon       Ygritte      54\n",
       "175     Jon Arryn          Lysa       5\n",
       "176     Jon Arryn        Robert       6\n",
       "177         Jorah     Barristan      11\n",
       "178         Jorah        Belwas      13\n",
       "179         Jorah        Daario       7\n",
       "180         Jorah         Drogo       6\n",
       "181         Kevan        Lancel       7\n",
       "182         Kevan         Varys       5\n",
       "183         Loras      Margaery       9\n",
       "184         Loras        Olenna       5\n",
       "185        Lothar        Roslin       4\n",
       "186         Luwin           Nan       4\n",
       "187          Lysa        Cersei       4\n",
       "188          Lysa        Hoster       6\n",
       "189          Lysa     Marillion      10\n",
       "190          Lysa         Petyr      29\n",
       "191          Lysa  Robert Arryn       9\n",
       "192          Lysa        Tyrion       5\n",
       "193          Lysa         Tywin       4\n",
       "194         Mance       Craster      11\n",
       "195         Mance         Dalla       8\n",
       "196         Mance         Gilly       7\n",
       "197         Mance        Qhorin      10\n",
       "198         Mance   Rattleshirt       9\n",
       "199         Mance          Styr       7\n",
       "200         Mance           Val       8\n",
       "201         Mance       Ygritte      12\n",
       "202         Meera       Samwell       7\n",
       "203    Melisandre         Davos      30\n",
       "204    Melisandre       Samwell       5\n",
       "205         Meryn          Ilyn       5\n",
       "206     Missandei          Irri       4\n",
       "207      Myrcella        Tommen       5\n",
       "208      Myrcella        Tyrion       4\n",
       "209        Oberyn       Ellaria       6\n",
       "210        Oberyn          Mace       6\n",
       "211       Podrick      Margaery       4\n",
       "212   Rattleshirt        Qhorin       6\n",
       "213         Renly         Loras       8\n",
       "214         Renly      Margaery       7\n",
       "215         Renly         Varys       4\n",
       "216       Rhaegar     Barristan       5\n",
       "217       Rhaegar          Elia       7\n",
       "218       Rhaegar         Jorah       5\n",
       "219       Rhaegar        Robert       6\n",
       "220       Rickard       Brynden       4\n",
       "221        Rickon         Theon       8\n",
       "222          Robb          Arya      15\n",
       "223          Robb         Balon       6\n",
       "224          Robb          Bran      23\n",
       "225          Robb       Brienne       6\n",
       "226          Robb       Brynden      17\n",
       "227          Robb        Edmure      32\n",
       "228          Robb         Hodor       5\n",
       "229          Robb         Jaime      15\n",
       "230          Robb         Jeyne      18\n",
       "231          Robb       Joffrey      10\n",
       "232          Robb           Jon      14\n",
       "233          Robb        Lothar      10\n",
       "234          Robb         Petyr       5\n",
       "235          Robb        Ramsay       4\n",
       "236          Robb       Rickard       7\n",
       "237          Robb        Rickon      15\n",
       "238          Robb         Roose       4\n",
       "239          Robb         Sansa      15\n",
       "240          Robb       Stannis       4\n",
       "241          Robb         Theon      11\n",
       "242          Robb        Tyrion      12\n",
       "243          Robb         Tywin      12\n",
       "244          Robb        Walder      26\n",
       "245        Robert         Aemon       4\n",
       "246        Robert     Barristan       5\n",
       "247        Robert         Renly       4\n",
       "248        Robert       Stannis       5\n",
       "249        Robert        Thoros       4\n",
       "250  Robert Arryn     Marillion       4\n",
       "251         Roose       Brienne       4\n",
       "252       Samwell         Bowen       6\n",
       "253       Samwell       Craster      34\n",
       "254       Samwell       Eddison      12\n",
       "255       Samwell         Gilly      36\n",
       "256       Samwell         Grenn      43\n",
       "257       Samwell         Janos       6\n",
       "258       Samwell         Mance      10\n",
       "259       Samwell        Qhorin       5\n",
       "260        Sandor         Beric      15\n",
       "261        Sandor        Gendry       5\n",
       "262        Sandor          Ilyn       4\n",
       "263        Sandor         Meryn       4\n",
       "264        Sandor        Robert       6\n",
       "265        Sandor        Thoros      10\n",
       "266         Sansa          Arya      22\n",
       "267         Sansa          Bran      10\n",
       "268         Sansa       Brienne       5\n",
       "269         Sansa        Cersei      16\n",
       "270         Sansa         Jaime      10\n",
       "271         Sansa       Joffrey      35\n",
       "272         Sansa           Jon       4\n",
       "273         Sansa         Kevan       5\n",
       "274         Sansa         Loras      14\n",
       "275         Sansa          Lysa      28\n",
       "276         Sansa      Margaery      36\n",
       "277         Sansa     Marillion       9\n",
       "278         Sansa      Myrcella       4\n",
       "279         Sansa        Olenna       7\n",
       "280         Sansa         Petyr      28\n",
       "281         Sansa       Podrick       8\n",
       "282         Sansa         Renly       4\n",
       "283         Sansa        Rickon       7\n",
       "284         Sansa        Robert       5\n",
       "285         Sansa  Robert Arryn       6\n",
       "286         Sansa        Sandor       6\n",
       "287         Sansa          Shae       8\n",
       "288         Sansa        Tyrion      77\n",
       "289          Shae       Chataya       4\n",
       "290          Shae         Varys       8\n",
       "291       Shireen         Davos       5\n",
       "292       Stannis         Aemon       4\n",
       "293       Stannis         Balon       4\n",
       "294       Stannis         Davos      32\n",
       "295       Stannis    Melisandre      20\n",
       "296       Stannis         Renly      15\n",
       "297       Stannis       Samwell      13\n",
       "298        Tommen      Margaery       5\n",
       "299        Tyrion         Balon       4\n",
       "300        Tyrion         Bronn      31\n",
       "301        Tyrion       Chataya       5\n",
       "302        Tyrion         Doran       5\n",
       "303        Tyrion          Elia       5\n",
       "304        Tyrion       Ellaria       4\n",
       "305        Tyrion        Gregor      22\n",
       "306        Tyrion          Ilyn       5\n",
       "307        Tyrion         Janos       5\n",
       "308        Tyrion         Kevan      11\n",
       "309        Tyrion         Loras       6\n",
       "310        Tyrion          Mace       9\n",
       "311        Tyrion      Margaery       7\n",
       "312        Tyrion         Meryn       5\n",
       "313        Tyrion        Oberyn      25\n",
       "314        Tyrion         Petyr      12\n",
       "315        Tyrion       Podrick      28\n",
       "316        Tyrion       Pycelle      11\n",
       "317        Tyrion         Renly       6\n",
       "318        Tyrion        Robert       9\n",
       "319        Tyrion        Sandor       4\n",
       "320        Tyrion          Shae      21\n",
       "321        Tyrion       Stannis       6\n",
       "322        Tyrion         Varys      18\n",
       "323         Tywin         Balon       5\n",
       "324         Tywin       Brynden       4\n",
       "325         Tywin        Cersei      16\n",
       "326         Tywin        Gregor       7\n",
       "327         Tywin         Jaime      13\n",
       "328         Tywin       Joffrey      13\n",
       "329         Tywin         Kevan      14\n",
       "330         Tywin          Mace       5\n",
       "331         Tywin        Oberyn       6\n",
       "332         Tywin         Petyr       4\n",
       "333         Tywin       Podrick       5\n",
       "334         Tywin       Pycelle       5\n",
       "335         Tywin        Robert      11\n",
       "336         Tywin       Stannis      15\n",
       "337         Tywin        Tommen       4\n",
       "338         Tywin        Tyrion      39\n",
       "339         Tywin           Val       4\n",
       "340         Tywin         Varys       6\n",
       "341         Tywin        Walder       4\n",
       "342           Val         Dalla       7\n",
       "343         Varys       Pycelle       4\n",
       "344       Viserys       Rhaegar       7\n",
       "345       Viserys        Tyrion       4\n",
       "346        Walder        Lothar      12\n",
       "347        Walder         Petyr       6\n",
       "348        Walder        Roslin       6\n",
       "349        Walton         Jaime      10\n",
       "350       Ygritte        Qhorin       7\n",
       "351       Ygritte   Rattleshirt       9"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "got_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a Network From a Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = networkx.from_pandas_edgelist(got_df,\n",
    "                                  source='Source',\n",
    "                                  target='Target',\n",
    "                                  edge_attr='Weight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Draw a Simple Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "networkx.draw(G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,15))\n",
    "networkx.draw(G, with_labels=True, node_color='skyblue', width=.3, font_size=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate Degree"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Who has the most number of connections in the network?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DegreeView({'Aemon': 5, 'Grenn': 4, 'Samwell': 15, 'Aerys': 4, 'Jaime': 24, 'Robert': 18, 'Tyrion': 36, 'Tywin': 22, 'Alliser': 3, 'Mance': 12, 'Amory': 1, 'Oberyn': 7, 'Arya': 19, 'Anguy': 2, 'Beric': 6, 'Bran': 14, 'Brynden': 8, 'Cersei': 20, 'Gendry': 4, 'Gregor': 12, 'Joffrey': 18, 'Jon': 26, 'Rickon': 6, 'Roose': 4, 'Sandor': 13, 'Thoros': 5, 'Balon': 6, 'Loras': 9, 'Belwas': 4, 'Barristan': 6, 'Illyrio': 1, 'Hodor': 4, 'Jojen': 4, 'Luwin': 2, 'Meera': 5, 'Nan': 2, 'Theon': 4, 'Brienne': 7, 'Bronn': 4, 'Podrick': 5, 'Lothar': 5, 'Walder': 8, 'Catelyn': 18, 'Edmure': 8, 'Hoster': 3, 'Jeyne': 2, 'Lysa': 10, 'Petyr': 7, 'Robb': 25, 'Roslin': 4, 'Sansa': 26, 'Stannis': 14, 'Elia': 5, 'Ilyn': 6, 'Meryn': 7, 'Pycelle': 4, 'Shae': 5, 'Varys': 7, 'Craster': 5, 'Karl': 1, 'Daario': 4, 'Drogo': 4, 'Irri': 4, 'Daenerys': 14, 'Aegon': 1, 'Jorah': 6, 'Kraznys': 1, 'Missandei': 2, 'Rakharo': 1, 'Rhaegar': 6, 'Viserys': 3, 'Worm': 1, 'Davos': 5, 'Cressen': 1, 'Salladhor': 1, 'Eddard': 12, 'Eddison': 3, 'Gilly': 4, 'Qyburn': 1, 'Renly': 8, 'Tommen': 5, 'Janos': 6, 'Bowen': 2, 'Kevan': 6, 'Margaery': 7, 'Myrcella': 4, 'Dalla': 3, 'Melisandre': 4, 'Orell': 1, 'Qhorin': 5, 'Rattleshirt': 4, 'Styr': 2, 'Val': 4, 'Ygritte': 4, 'Jon Arryn': 2, 'Lancel': 1, 'Olenna': 2, 'Marillion': 3, 'Robert Arryn': 3, 'Ellaria': 2, 'Mace': 3, 'Rickard': 2, 'Ramsay': 1, 'Chataya': 2, 'Shireen': 1, 'Doran': 1, 'Walton': 1})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "networkx.degree(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make the degree values a dictionary, then add it as a network \"attribute\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "degrees = dict(networkx.degree(G))\n",
    "networkx.set_node_attributes(G, name='degree', values=degrees)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Pandas dataframe from the degree data `G.nodes(data='degree')`, then sort from highest to lowest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node</th>\n",
       "      <th>degree</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aemon</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Grenn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aerys</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Robert</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alliser</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Mance</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Amory</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arya</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anguy</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Beric</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bran</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gendry</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jon</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Roose</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Thoros</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Balon</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loras</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Barristan</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Illyrio</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Meera</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nan</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Theon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Podrick</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Walder</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jeyne</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Petyr</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robb</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Roslin</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Elia</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Ilyn</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Meryn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Pycelle</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Shae</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Varys</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Craster</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Karl</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Daario</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Drogo</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Irri</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Aegon</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Kraznys</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Missandei</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Rakharo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Worm</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Davos</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Cressen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Salladhor</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Eddison</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Gilly</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Qyburn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Renly</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Tommen</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Janos</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Bowen</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Margaery</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Dalla</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Orell</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Qhorin</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Styr</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Val</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Lancel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Olenna</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Marillion</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Ellaria</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Mace</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Ramsay</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Chataya</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Shireen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Doran</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Walton</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             node  degree\n",
       "0           Aemon       5\n",
       "1           Grenn       4\n",
       "2         Samwell      15\n",
       "3           Aerys       4\n",
       "4           Jaime      24\n",
       "5          Robert      18\n",
       "6          Tyrion      36\n",
       "7           Tywin      22\n",
       "8         Alliser       3\n",
       "9           Mance      12\n",
       "10          Amory       1\n",
       "11         Oberyn       7\n",
       "12           Arya      19\n",
       "13          Anguy       2\n",
       "14          Beric       6\n",
       "15           Bran      14\n",
       "16        Brynden       8\n",
       "17         Cersei      20\n",
       "18         Gendry       4\n",
       "19         Gregor      12\n",
       "20        Joffrey      18\n",
       "21            Jon      26\n",
       "22         Rickon       6\n",
       "23          Roose       4\n",
       "24         Sandor      13\n",
       "25         Thoros       5\n",
       "26          Balon       6\n",
       "27          Loras       9\n",
       "28         Belwas       4\n",
       "29      Barristan       6\n",
       "30        Illyrio       1\n",
       "31          Hodor       4\n",
       "32          Jojen       4\n",
       "33          Luwin       2\n",
       "34          Meera       5\n",
       "35            Nan       2\n",
       "36          Theon       4\n",
       "37        Brienne       7\n",
       "38          Bronn       4\n",
       "39        Podrick       5\n",
       "40         Lothar       5\n",
       "41         Walder       8\n",
       "42        Catelyn      18\n",
       "43         Edmure       8\n",
       "44         Hoster       3\n",
       "45          Jeyne       2\n",
       "46           Lysa      10\n",
       "47          Petyr       7\n",
       "48           Robb      25\n",
       "49         Roslin       4\n",
       "50          Sansa      26\n",
       "51        Stannis      14\n",
       "52           Elia       5\n",
       "53           Ilyn       6\n",
       "54          Meryn       7\n",
       "55        Pycelle       4\n",
       "56           Shae       5\n",
       "57          Varys       7\n",
       "58        Craster       5\n",
       "59           Karl       1\n",
       "60         Daario       4\n",
       "61          Drogo       4\n",
       "62           Irri       4\n",
       "63       Daenerys      14\n",
       "64          Aegon       1\n",
       "65          Jorah       6\n",
       "66        Kraznys       1\n",
       "67      Missandei       2\n",
       "68        Rakharo       1\n",
       "69        Rhaegar       6\n",
       "70        Viserys       3\n",
       "71           Worm       1\n",
       "72          Davos       5\n",
       "73        Cressen       1\n",
       "74      Salladhor       1\n",
       "75         Eddard      12\n",
       "76        Eddison       3\n",
       "77          Gilly       4\n",
       "78         Qyburn       1\n",
       "79          Renly       8\n",
       "80         Tommen       5\n",
       "81          Janos       6\n",
       "82          Bowen       2\n",
       "83          Kevan       6\n",
       "84       Margaery       7\n",
       "85       Myrcella       4\n",
       "86          Dalla       3\n",
       "87     Melisandre       4\n",
       "88          Orell       1\n",
       "89         Qhorin       5\n",
       "90    Rattleshirt       4\n",
       "91           Styr       2\n",
       "92            Val       4\n",
       "93        Ygritte       4\n",
       "94      Jon Arryn       2\n",
       "95         Lancel       1\n",
       "96         Olenna       2\n",
       "97      Marillion       3\n",
       "98   Robert Arryn       3\n",
       "99        Ellaria       2\n",
       "100          Mace       3\n",
       "101       Rickard       2\n",
       "102        Ramsay       1\n",
       "103       Chataya       2\n",
       "104       Shireen       1\n",
       "105         Doran       1\n",
       "106        Walton       1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degree_df = pd.DataFrame(G.nodes(data='degree'), columns=['node', 'degree'])\n",
    "degree_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your turn!** Sort the DataFrame from highest degree centrality to lowest degree centrality. Then re-assign this sorted DataFrame to the variable `degree_df`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "degree_df = degree_df.sort_values('degree', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the nodes with the highest degree values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_nodes_to_inspect = 10\n",
    "degree_df[:num_nodes_to_inspect].plot(x='node', y='degree', kind='barh').invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate Betweenness Centrality Scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Who connects the most other nodes in the network?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Aemon': 0.004622508177397137,\n",
       " 'Grenn': 5.989817310572027e-05,\n",
       " 'Samwell': 0.03227262859511145,\n",
       " 'Aerys': 0.0,\n",
       " 'Jaime': 0.09994344156136246,\n",
       " 'Robert': 0.2094523840293194,\n",
       " 'Tyrion': 0.19791284320277353,\n",
       " 'Tywin': 0.06553840423231058,\n",
       " 'Alliser': 0.0,\n",
       " 'Mance': 0.007275961371756524,\n",
       " 'Amory': 0.0,\n",
       " 'Oberyn': 0.01958014232946847,\n",
       " 'Arya': 0.07960711308183888,\n",
       " 'Anguy': 0.0,\n",
       " 'Beric': 0.0006091214266627511,\n",
       " 'Bran': 0.06301659941786954,\n",
       " 'Brynden': 0.004727134574764742,\n",
       " 'Cersei': 0.02674643287824232,\n",
       " 'Gendry': 0.0,\n",
       " 'Gregor': 0.005879915417737236,\n",
       " 'Joffrey': 0.025434099443917696,\n",
       " 'Jon': 0.22996466368473173,\n",
       " 'Rickon': 0.0007626320968639029,\n",
       " 'Roose': 0.0002629599012559427,\n",
       " 'Sandor': 0.014162278987154626,\n",
       " 'Thoros': 0.0019261823273239152,\n",
       " 'Balon': 0.0006281164805527878,\n",
       " 'Loras': 0.003780752291533962,\n",
       " 'Belwas': 0.018867924528301886,\n",
       " 'Barristan': 0.04011407489067884,\n",
       " 'Illyrio': 0.0,\n",
       " 'Hodor': 0.0021937273446681065,\n",
       " 'Jojen': 0.0004064518889316733,\n",
       " 'Luwin': 0.0,\n",
       " 'Meera': 0.0019922569692430686,\n",
       " 'Nan': 0.0,\n",
       " 'Theon': 0.00047177590304274953,\n",
       " 'Brienne': 0.0015376001520469229,\n",
       " 'Bronn': 0.00010482180293501046,\n",
       " 'Podrick': 0.0008358985235471674,\n",
       " 'Lothar': 0.0006600525898733143,\n",
       " 'Walder': 0.0032731813973401044,\n",
       " 'Catelyn': 0.04890588265764755,\n",
       " 'Edmure': 0.0063172332740347534,\n",
       " 'Hoster': 0.0002426336765959408,\n",
       " 'Jeyne': 0.0,\n",
       " 'Lysa': 0.015215156305177053,\n",
       " 'Petyr': 0.0011502139845250673,\n",
       " 'Robb': 0.1269644713830151,\n",
       " 'Roslin': 6.751960581039384e-05,\n",
       " 'Sansa': 0.12672031668498004,\n",
       " 'Stannis': 0.1026998617273264,\n",
       " 'Elia': 0.002996853410630337,\n",
       " 'Ilyn': 0.0,\n",
       " 'Meryn': 0.00025900705642512993,\n",
       " 'Pycelle': 0.0,\n",
       " 'Shae': 0.0012523948930099663,\n",
       " 'Varys': 0.0009094137867722772,\n",
       " 'Craster': 0.018867924528301886,\n",
       " 'Karl': 0.0,\n",
       " 'Daario': 5.989817310572027e-05,\n",
       " 'Drogo': 5.989817310572027e-05,\n",
       " 'Irri': 0.00017969451931716083,\n",
       " 'Daenerys': 0.15720345212054956,\n",
       " 'Aegon': 0.0,\n",
       " 'Jorah': 0.002329891127259132,\n",
       " 'Kraznys': 0.0,\n",
       " 'Missandei': 0.0,\n",
       " 'Rakharo': 0.0,\n",
       " 'Rhaegar': 0.007312671807481101,\n",
       " 'Viserys': 0.015644391307527945,\n",
       " 'Worm': 0.0,\n",
       " 'Davos': 0.056064690026954175,\n",
       " 'Cressen': 0.0,\n",
       " 'Salladhor': 0.0,\n",
       " 'Eddard': 0.019341416465723616,\n",
       " 'Eddison': 0.0,\n",
       " 'Gilly': 0.0,\n",
       " 'Qyburn': 0.0,\n",
       " 'Renly': 0.004227926858198188,\n",
       " 'Tommen': 0.0006984420191967362,\n",
       " 'Janos': 0.02355861153253357,\n",
       " 'Bowen': 0.0,\n",
       " 'Kevan': 0.019219915043818533,\n",
       " 'Margaery': 0.0010973522354777933,\n",
       " 'Myrcella': 0.0006235971795124951,\n",
       " 'Dalla': 0.0,\n",
       " 'Melisandre': 0.00860866854841803,\n",
       " 'Orell': 0.0,\n",
       " 'Qhorin': 0.0002635519616651692,\n",
       " 'Rattleshirt': 0.0,\n",
       " 'Styr': 0.0,\n",
       " 'Val': 0.005898334987101542,\n",
       " 'Ygritte': 0.0,\n",
       " 'Jon Arryn': 0.0005764583325230229,\n",
       " 'Lancel': 0.0,\n",
       " 'Olenna': 0.0,\n",
       " 'Marillion': 0.0,\n",
       " 'Robert Arryn': 0.0,\n",
       " 'Ellaria': 0.0,\n",
       " 'Mace': 0.0,\n",
       " 'Rickard': 0.0,\n",
       " 'Ramsay': 0.0,\n",
       " 'Chataya': 0.0,\n",
       " 'Shireen': 0.0,\n",
       " 'Doran': 0.0,\n",
       " 'Walton': 0.0}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "networkx.betweenness_centrality(G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "betweenness_centrality = networkx.betweenness_centrality(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add `betweenness_centrality` (which is already a dictionary) as a network \"attribute\" with `networkx.set_node_attributes()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "networkx.set_node_attributes(G, name='betweenness', values=betweenness_centrality)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Pandas dataframe from the betweenness data `G.nodes(data='betweenness')`, then sort from highest to lowest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node</th>\n",
       "      <th>betweenness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aemon</td>\n",
       "      <td>0.004623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Grenn</td>\n",
       "      <td>0.000060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>0.032273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aerys</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>0.099943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Robert</td>\n",
       "      <td>0.209452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>0.197913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>0.065538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alliser</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Mance</td>\n",
       "      <td>0.007276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Amory</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>0.019580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arya</td>\n",
       "      <td>0.079607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anguy</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Beric</td>\n",
       "      <td>0.000609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bran</td>\n",
       "      <td>0.063017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>0.004727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>0.026746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gendry</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>0.005880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>0.025434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jon</td>\n",
       "      <td>0.229965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>0.000763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Roose</td>\n",
       "      <td>0.000263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>0.014162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Thoros</td>\n",
       "      <td>0.001926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Balon</td>\n",
       "      <td>0.000628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loras</td>\n",
       "      <td>0.003781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>0.018868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Barristan</td>\n",
       "      <td>0.040114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Illyrio</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>0.002194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>0.000406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Meera</td>\n",
       "      <td>0.001992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nan</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Theon</td>\n",
       "      <td>0.000472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>0.001538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>0.000105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Podrick</td>\n",
       "      <td>0.000836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>0.000660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Walder</td>\n",
       "      <td>0.003273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>0.048906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>0.006317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>0.000243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jeyne</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>0.015215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Petyr</td>\n",
       "      <td>0.001150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robb</td>\n",
       "      <td>0.126964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Roslin</td>\n",
       "      <td>0.000068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>0.126720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>0.102700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Elia</td>\n",
       "      <td>0.002997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Ilyn</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Meryn</td>\n",
       "      <td>0.000259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Pycelle</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Shae</td>\n",
       "      <td>0.001252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Varys</td>\n",
       "      <td>0.000909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Craster</td>\n",
       "      <td>0.018868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Karl</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Daario</td>\n",
       "      <td>0.000060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Drogo</td>\n",
       "      <td>0.000060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Irri</td>\n",
       "      <td>0.000180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>0.157203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Aegon</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>0.002330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Kraznys</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Missandei</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Rakharo</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>0.007313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>0.015644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Worm</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Davos</td>\n",
       "      <td>0.056065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Cressen</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Salladhor</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>0.019341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Eddison</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Gilly</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Qyburn</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Renly</td>\n",
       "      <td>0.004228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Tommen</td>\n",
       "      <td>0.000698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Janos</td>\n",
       "      <td>0.023559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Bowen</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>0.019220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Margaery</td>\n",
       "      <td>0.001097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>0.000624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Dalla</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>0.008609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Orell</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Qhorin</td>\n",
       "      <td>0.000264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Styr</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Val</td>\n",
       "      <td>0.005898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>0.000576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Lancel</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Olenna</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Marillion</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Ellaria</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Mace</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Ramsay</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Chataya</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Shireen</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Doran</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Walton</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             node  betweenness\n",
       "0           Aemon     0.004623\n",
       "1           Grenn     0.000060\n",
       "2         Samwell     0.032273\n",
       "3           Aerys     0.000000\n",
       "4           Jaime     0.099943\n",
       "5          Robert     0.209452\n",
       "6          Tyrion     0.197913\n",
       "7           Tywin     0.065538\n",
       "8         Alliser     0.000000\n",
       "9           Mance     0.007276\n",
       "10          Amory     0.000000\n",
       "11         Oberyn     0.019580\n",
       "12           Arya     0.079607\n",
       "13          Anguy     0.000000\n",
       "14          Beric     0.000609\n",
       "15           Bran     0.063017\n",
       "16        Brynden     0.004727\n",
       "17         Cersei     0.026746\n",
       "18         Gendry     0.000000\n",
       "19         Gregor     0.005880\n",
       "20        Joffrey     0.025434\n",
       "21            Jon     0.229965\n",
       "22         Rickon     0.000763\n",
       "23          Roose     0.000263\n",
       "24         Sandor     0.014162\n",
       "25         Thoros     0.001926\n",
       "26          Balon     0.000628\n",
       "27          Loras     0.003781\n",
       "28         Belwas     0.018868\n",
       "29      Barristan     0.040114\n",
       "30        Illyrio     0.000000\n",
       "31          Hodor     0.002194\n",
       "32          Jojen     0.000406\n",
       "33          Luwin     0.000000\n",
       "34          Meera     0.001992\n",
       "35            Nan     0.000000\n",
       "36          Theon     0.000472\n",
       "37        Brienne     0.001538\n",
       "38          Bronn     0.000105\n",
       "39        Podrick     0.000836\n",
       "40         Lothar     0.000660\n",
       "41         Walder     0.003273\n",
       "42        Catelyn     0.048906\n",
       "43         Edmure     0.006317\n",
       "44         Hoster     0.000243\n",
       "45          Jeyne     0.000000\n",
       "46           Lysa     0.015215\n",
       "47          Petyr     0.001150\n",
       "48           Robb     0.126964\n",
       "49         Roslin     0.000068\n",
       "50          Sansa     0.126720\n",
       "51        Stannis     0.102700\n",
       "52           Elia     0.002997\n",
       "53           Ilyn     0.000000\n",
       "54          Meryn     0.000259\n",
       "55        Pycelle     0.000000\n",
       "56           Shae     0.001252\n",
       "57          Varys     0.000909\n",
       "58        Craster     0.018868\n",
       "59           Karl     0.000000\n",
       "60         Daario     0.000060\n",
       "61          Drogo     0.000060\n",
       "62           Irri     0.000180\n",
       "63       Daenerys     0.157203\n",
       "64          Aegon     0.000000\n",
       "65          Jorah     0.002330\n",
       "66        Kraznys     0.000000\n",
       "67      Missandei     0.000000\n",
       "68        Rakharo     0.000000\n",
       "69        Rhaegar     0.007313\n",
       "70        Viserys     0.015644\n",
       "71           Worm     0.000000\n",
       "72          Davos     0.056065\n",
       "73        Cressen     0.000000\n",
       "74      Salladhor     0.000000\n",
       "75         Eddard     0.019341\n",
       "76        Eddison     0.000000\n",
       "77          Gilly     0.000000\n",
       "78         Qyburn     0.000000\n",
       "79          Renly     0.004228\n",
       "80         Tommen     0.000698\n",
       "81          Janos     0.023559\n",
       "82          Bowen     0.000000\n",
       "83          Kevan     0.019220\n",
       "84       Margaery     0.001097\n",
       "85       Myrcella     0.000624\n",
       "86          Dalla     0.000000\n",
       "87     Melisandre     0.008609\n",
       "88          Orell     0.000000\n",
       "89         Qhorin     0.000264\n",
       "90    Rattleshirt     0.000000\n",
       "91           Styr     0.000000\n",
       "92            Val     0.005898\n",
       "93        Ygritte     0.000000\n",
       "94      Jon Arryn     0.000576\n",
       "95         Lancel     0.000000\n",
       "96         Olenna     0.000000\n",
       "97      Marillion     0.000000\n",
       "98   Robert Arryn     0.000000\n",
       "99        Ellaria     0.000000\n",
       "100          Mace     0.000000\n",
       "101       Rickard     0.000000\n",
       "102        Ramsay     0.000000\n",
       "103       Chataya     0.000000\n",
       "104       Shireen     0.000000\n",
       "105         Doran     0.000000\n",
       "106        Walton     0.000000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "betweenness_df = pd.DataFrame(G.nodes(data='betweenness'), columns=['node', 'betweenness'])\n",
    "betweenness_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your turn!** Sort the DataFrame from highest betweenness centrality to lowest betweenness centrality. Then re-assign this sorted DataFrame to the variable `betweenness_df`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "betweenness_df = betweenness_df.sort_values('betweenness', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the nodes with the highest betweenness centrality scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_nodes_to_inspect = 10\n",
    "betweenness_df[:num_nodes_to_inspect].plot(x='node', y='betweenness', color='green', kind='barh').invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discussion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Which characters have the highest degree centrality scores?\n",
    "- Which characters have the highest betweenness centrality scores?\n",
    "- Why do these metrics differ? What can betweenness centrality tell us about the roles that the characters play in the GOT universe?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate Weighted Degree"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Who has the most number of connections in the network (if you factor in edge weight)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DegreeView({'Aemon': 74, 'Grenn': 81, 'Samwell': 282, 'Aerys': 37, 'Jaime': 372, 'Robert': 128, 'Tyrion': 551, 'Tywin': 204, 'Alliser': 29, 'Mance': 160, 'Amory': 5, 'Oberyn': 76, 'Arya': 269, 'Anguy': 15, 'Beric': 75, 'Bran': 344, 'Brynden': 55, 'Cersei': 226, 'Gendry': 59, 'Gregor': 117, 'Joffrey': 255, 'Jon': 442, 'Rickon': 81, 'Roose': 17, 'Sandor': 137, 'Thoros': 60, 'Balon': 29, 'Loras': 76, 'Belwas': 67, 'Barristan': 63, 'Illyrio': 10, 'Hodor': 177, 'Jojen': 125, 'Luwin': 8, 'Meera': 139, 'Nan': 18, 'Theon': 38, 'Brienne': 122, 'Bronn': 59, 'Podrick': 64, 'Lothar': 34, 'Walder': 87, 'Catelyn': 184, 'Edmure': 98, 'Hoster': 24, 'Jeyne': 28, 'Lysa': 108, 'Petyr': 89, 'Robb': 342, 'Roslin': 32, 'Sansa': 383, 'Stannis': 146, 'Elia': 29, 'Ilyn': 32, 'Meryn': 47, 'Pycelle': 24, 'Shae': 45, 'Varys': 49, 'Craster': 75, 'Karl': 6, 'Daario': 30, 'Drogo': 35, 'Irri': 33, 'Daenerys': 232, 'Aegon': 8, 'Jorah': 89, 'Kraznys': 10, 'Missandei': 30, 'Rakharo': 7, 'Rhaegar': 42, 'Viserys': 19, 'Worm': 14, 'Davos': 87, 'Cressen': 4, 'Salladhor': 16, 'Eddard': 108, 'Eddison': 24, 'Gilly': 69, 'Qyburn': 11, 'Renly': 55, 'Tommen': 31, 'Janos': 37, 'Bowen': 11, 'Kevan': 50, 'Margaery': 96, 'Myrcella': 18, 'Dalla': 21, 'Melisandre': 62, 'Orell': 6, 'Qhorin': 59, 'Rattleshirt': 44, 'Styr': 23, 'Val': 31, 'Ygritte': 82, 'Jon Arryn': 11, 'Lancel': 7, 'Olenna': 12, 'Marillion': 23, 'Robert Arryn': 19, 'Ellaria': 10, 'Mace': 20, 'Rickard': 11, 'Ramsay': 4, 'Chataya': 9, 'Shireen': 5, 'Doran': 5, 'Walton': 10})"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "networkx.degree(G, weight='Weight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make the weighted degree values a `dict`ionary, then add it as a network \"attribute\" with `networkx.set_node_attributes()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "weighted_degrees = dict(networkx.degree(G, weight='Weight'))\n",
    "networkx.set_node_attributes(G, name='weighted_degree', values=weighted_degrees)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Pandas dataframe from the degree data `G.nodes(data='weighted_degree')`, then sort from highest to lowest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node</th>\n",
       "      <th>weighted_degree</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jon</td>\n",
       "      <td>442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bran</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robb</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arya</td>\n",
       "      <td>269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Mance</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Meera</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Robert</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Margaery</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Petyr</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Davos</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Walder</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Grenn</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loras</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Beric</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Craster</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aemon</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Gilly</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Podrick</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Barristan</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Thoros</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Qhorin</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gendry</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Renly</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Varys</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Meryn</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Shae</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Theon</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Janos</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aerys</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Drogo</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Irri</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Ilyn</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Roslin</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Val</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Tommen</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Daario</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Missandei</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Elia</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alliser</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Balon</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jeyne</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Pycelle</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Eddison</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Styr</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Marillion</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Dalla</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Mace</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nan</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Roose</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Salladhor</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anguy</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Worm</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Olenna</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Qyburn</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Bowen</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Ellaria</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Walton</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Illyrio</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Kraznys</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Chataya</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Aegon</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Lancel</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Rakharo</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Karl</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Orell</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Amory</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Shireen</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Doran</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Cressen</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Ramsay</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             node  weighted_degree\n",
       "6          Tyrion              551\n",
       "21            Jon              442\n",
       "50          Sansa              383\n",
       "4           Jaime              372\n",
       "15           Bran              344\n",
       "48           Robb              342\n",
       "2         Samwell              282\n",
       "12           Arya              269\n",
       "20        Joffrey              255\n",
       "63       Daenerys              232\n",
       "17         Cersei              226\n",
       "7           Tywin              204\n",
       "42        Catelyn              184\n",
       "31          Hodor              177\n",
       "9           Mance              160\n",
       "51        Stannis              146\n",
       "34          Meera              139\n",
       "24         Sandor              137\n",
       "5          Robert              128\n",
       "32          Jojen              125\n",
       "37        Brienne              122\n",
       "19         Gregor              117\n",
       "46           Lysa              108\n",
       "75         Eddard              108\n",
       "43         Edmure               98\n",
       "84       Margaery               96\n",
       "47          Petyr               89\n",
       "65          Jorah               89\n",
       "72          Davos               87\n",
       "41         Walder               87\n",
       "93        Ygritte               82\n",
       "1           Grenn               81\n",
       "22         Rickon               81\n",
       "11         Oberyn               76\n",
       "27          Loras               76\n",
       "14          Beric               75\n",
       "58        Craster               75\n",
       "0           Aemon               74\n",
       "77          Gilly               69\n",
       "28         Belwas               67\n",
       "39        Podrick               64\n",
       "29      Barristan               63\n",
       "87     Melisandre               62\n",
       "25         Thoros               60\n",
       "38          Bronn               59\n",
       "89         Qhorin               59\n",
       "18         Gendry               59\n",
       "79          Renly               55\n",
       "16        Brynden               55\n",
       "83          Kevan               50\n",
       "57          Varys               49\n",
       "54          Meryn               47\n",
       "56           Shae               45\n",
       "90    Rattleshirt               44\n",
       "69        Rhaegar               42\n",
       "36          Theon               38\n",
       "81          Janos               37\n",
       "3           Aerys               37\n",
       "61          Drogo               35\n",
       "40         Lothar               34\n",
       "62           Irri               33\n",
       "53           Ilyn               32\n",
       "49         Roslin               32\n",
       "92            Val               31\n",
       "80         Tommen               31\n",
       "60         Daario               30\n",
       "67      Missandei               30\n",
       "52           Elia               29\n",
       "8         Alliser               29\n",
       "26          Balon               29\n",
       "45          Jeyne               28\n",
       "55        Pycelle               24\n",
       "76        Eddison               24\n",
       "44         Hoster               24\n",
       "91           Styr               23\n",
       "97      Marillion               23\n",
       "86          Dalla               21\n",
       "100          Mace               20\n",
       "70        Viserys               19\n",
       "98   Robert Arryn               19\n",
       "35            Nan               18\n",
       "85       Myrcella               18\n",
       "23          Roose               17\n",
       "74      Salladhor               16\n",
       "13          Anguy               15\n",
       "71           Worm               14\n",
       "96         Olenna               12\n",
       "78         Qyburn               11\n",
       "82          Bowen               11\n",
       "101       Rickard               11\n",
       "94      Jon Arryn               11\n",
       "99        Ellaria               10\n",
       "106        Walton               10\n",
       "30        Illyrio               10\n",
       "66        Kraznys               10\n",
       "103       Chataya                9\n",
       "64          Aegon                8\n",
       "33          Luwin                8\n",
       "95         Lancel                7\n",
       "68        Rakharo                7\n",
       "59           Karl                6\n",
       "88          Orell                6\n",
       "10          Amory                5\n",
       "104       Shireen                5\n",
       "105         Doran                5\n",
       "73        Cressen                4\n",
       "102        Ramsay                4"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weighted_degree_df = pd.DataFrame(G.nodes(data='weighted_degree'), columns=['node', 'weighted_degree'])\n",
    "weighted_degree_df = weighted_degree_df.sort_values(by='weighted_degree', ascending=False)\n",
    "weighted_degree_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the nodes with the highest weighted degree values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_nodes_to_inspect = 10\n",
    "weighted_degree_df[:num_nodes_to_inspect].plot(x='node', y='weighted_degree', color='orange', kind='barh').invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Communities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Who forms distinct communities within this network?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from networkx.algorithms import community"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate communities with `community.greedy_modularity_communities()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "communities = community.greedy_modularity_communities(G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[frozenset({'Aerys',\n",
       "            'Amory',\n",
       "            'Balon',\n",
       "            'Bronn',\n",
       "            'Chataya',\n",
       "            'Doran',\n",
       "            'Elia',\n",
       "            'Ellaria',\n",
       "            'Gregor',\n",
       "            'Ilyn',\n",
       "            'Jaime',\n",
       "            'Joffrey',\n",
       "            'Kevan',\n",
       "            'Lancel',\n",
       "            'Loras',\n",
       "            'Mace',\n",
       "            'Margaery',\n",
       "            'Meryn',\n",
       "            'Myrcella',\n",
       "            'Oberyn',\n",
       "            'Olenna',\n",
       "            'Podrick',\n",
       "            'Pycelle',\n",
       "            'Qyburn',\n",
       "            'Renly',\n",
       "            'Sandor',\n",
       "            'Shae',\n",
       "            'Tommen',\n",
       "            'Tyrion',\n",
       "            'Tywin',\n",
       "            'Varys',\n",
       "            'Walton'}),\n",
       " frozenset({'Aemon',\n",
       "            'Alliser',\n",
       "            'Bowen',\n",
       "            'Craster',\n",
       "            'Cressen',\n",
       "            'Dalla',\n",
       "            'Davos',\n",
       "            'Eddison',\n",
       "            'Gilly',\n",
       "            'Grenn',\n",
       "            'Hodor',\n",
       "            'Janos',\n",
       "            'Jojen',\n",
       "            'Jon',\n",
       "            'Karl',\n",
       "            'Mance',\n",
       "            'Meera',\n",
       "            'Melisandre',\n",
       "            'Orell',\n",
       "            'Qhorin',\n",
       "            'Rattleshirt',\n",
       "            'Salladhor',\n",
       "            'Samwell',\n",
       "            'Shireen',\n",
       "            'Stannis',\n",
       "            'Styr',\n",
       "            'Val',\n",
       "            'Ygritte'}),\n",
       " frozenset({'Arya',\n",
       "            'Bran',\n",
       "            'Brienne',\n",
       "            'Brynden',\n",
       "            'Catelyn',\n",
       "            'Cersei',\n",
       "            'Eddard',\n",
       "            'Edmure',\n",
       "            'Hoster',\n",
       "            'Jeyne',\n",
       "            'Lothar',\n",
       "            'Luwin',\n",
       "            'Lysa',\n",
       "            'Marillion',\n",
       "            'Nan',\n",
       "            'Petyr',\n",
       "            'Ramsay',\n",
       "            'Rickard',\n",
       "            'Rickon',\n",
       "            'Robb',\n",
       "            'Robert Arryn',\n",
       "            'Roose',\n",
       "            'Roslin',\n",
       "            'Sansa',\n",
       "            'Theon',\n",
       "            'Walder'}),\n",
       " frozenset({'Aegon',\n",
       "            'Barristan',\n",
       "            'Belwas',\n",
       "            'Daario',\n",
       "            'Daenerys',\n",
       "            'Drogo',\n",
       "            'Illyrio',\n",
       "            'Irri',\n",
       "            'Jon Arryn',\n",
       "            'Jorah',\n",
       "            'Kraznys',\n",
       "            'Missandei',\n",
       "            'Rakharo',\n",
       "            'Rhaegar',\n",
       "            'Robert',\n",
       "            'Viserys',\n",
       "            'Worm'}),\n",
       " frozenset({'Anguy', 'Beric', 'Gendry', 'Thoros'})]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "communities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a `dict`ionary by looping through the communities and, for each member of the community, adding their community number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create empty dictionary\n",
    "modularity_class = {}\n",
    "#Loop through each community in the network\n",
    "for community_number, community in enumerate(communities):\n",
    "    #For each member of the community, add their community number\n",
    "    for name in community:\n",
    "        modularity_class[name] = community_number"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add modularity class to the network as an attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "networkx.set_node_attributes(G, modularity_class, 'modularity_class')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Pandas dataframe from modularity class network data `G.nodes(data='modularity_class')`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "communities_df = pd.DataFrame(G.nodes(data='modularity_class'), columns=['node', 'modularity_class'])\n",
    "communities_df = communities_df.sort_values(by='modularity_class', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node</th>\n",
       "      <th>modularity_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Thoros</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gendry</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Beric</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anguy</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Belwas</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Jon Arryn</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Jorah</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Missandei</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Worm</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Viserys</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Barristan</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Illyrio</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Rhaegar</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Rakharo</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Aegon</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Daenerys</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Robert</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Irri</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Drogo</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Daario</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Kraznys</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Theon</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jeyne</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Petyr</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robb</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Roslin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nan</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Walder</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Ramsay</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bran</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arya</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Roose</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Marillion</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Cressen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Davos</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Craster</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Salladhor</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Eddison</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Gilly</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Melisandre</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Dalla</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Janos</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Karl</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aemon</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Orell</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Jojen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Samwell</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Shireen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alliser</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Mance</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jon</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Qhorin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Hodor</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Bowen</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Meera</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Ygritte</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Stannis</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Val</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Grenn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Styr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Rattleshirt</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Margaery</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Olenna</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Ellaria</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Mace</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Chataya</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Doran</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Myrcella</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Lancel</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Ilyn</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Kevan</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Balon</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aerys</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jaime</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tyrion</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tywin</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Amory</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oberyn</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gregor</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Joffrey</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sandor</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loras</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Tommen</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bronn</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Podrick</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Elia</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Meryn</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Pycelle</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Shae</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Varys</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Qyburn</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Renly</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Walton</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             node  modularity_class\n",
       "25         Thoros                 4\n",
       "18         Gendry                 4\n",
       "14          Beric                 4\n",
       "13          Anguy                 4\n",
       "28         Belwas                 3\n",
       "94      Jon Arryn                 3\n",
       "65          Jorah                 3\n",
       "67      Missandei                 3\n",
       "71           Worm                 3\n",
       "70        Viserys                 3\n",
       "29      Barristan                 3\n",
       "30        Illyrio                 3\n",
       "69        Rhaegar                 3\n",
       "68        Rakharo                 3\n",
       "64          Aegon                 3\n",
       "63       Daenerys                 3\n",
       "5          Robert                 3\n",
       "62           Irri                 3\n",
       "61          Drogo                 3\n",
       "60         Daario                 3\n",
       "66        Kraznys                 3\n",
       "36          Theon                 2\n",
       "37        Brienne                 2\n",
       "43         Edmure                 2\n",
       "40         Lothar                 2\n",
       "42        Catelyn                 2\n",
       "44         Hoster                 2\n",
       "45          Jeyne                 2\n",
       "46           Lysa                 2\n",
       "47          Petyr                 2\n",
       "48           Robb                 2\n",
       "49         Roslin                 2\n",
       "50          Sansa                 2\n",
       "35            Nan                 2\n",
       "41         Walder                 2\n",
       "33          Luwin                 2\n",
       "17         Cersei                 2\n",
       "102        Ramsay                 2\n",
       "75         Eddard                 2\n",
       "101       Rickard                 2\n",
       "15           Bran                 2\n",
       "16        Brynden                 2\n",
       "12           Arya                 2\n",
       "98   Robert Arryn                 2\n",
       "22         Rickon                 2\n",
       "23          Roose                 2\n",
       "97      Marillion                 2\n",
       "73        Cressen                 1\n",
       "72          Davos                 1\n",
       "58        Craster                 1\n",
       "74      Salladhor                 1\n",
       "76        Eddison                 1\n",
       "77          Gilly                 1\n",
       "87     Melisandre                 1\n",
       "86          Dalla                 1\n",
       "81          Janos                 1\n",
       "59           Karl                 1\n",
       "0           Aemon                 1\n",
       "88          Orell                 1\n",
       "32          Jojen                 1\n",
       "2         Samwell                 1\n",
       "104       Shireen                 1\n",
       "8         Alliser                 1\n",
       "9           Mance                 1\n",
       "21            Jon                 1\n",
       "89         Qhorin                 1\n",
       "31          Hodor                 1\n",
       "82          Bowen                 1\n",
       "34          Meera                 1\n",
       "93        Ygritte                 1\n",
       "51        Stannis                 1\n",
       "92            Val                 1\n",
       "1           Grenn                 1\n",
       "91           Styr                 1\n",
       "90    Rattleshirt                 1\n",
       "84       Margaery                 0\n",
       "96         Olenna                 0\n",
       "99        Ellaria                 0\n",
       "100          Mace                 0\n",
       "103       Chataya                 0\n",
       "105         Doran                 0\n",
       "85       Myrcella                 0\n",
       "95         Lancel                 0\n",
       "53           Ilyn                 0\n",
       "83          Kevan                 0\n",
       "26          Balon                 0\n",
       "3           Aerys                 0\n",
       "4           Jaime                 0\n",
       "6          Tyrion                 0\n",
       "7           Tywin                 0\n",
       "10          Amory                 0\n",
       "11         Oberyn                 0\n",
       "19         Gregor                 0\n",
       "20        Joffrey                 0\n",
       "24         Sandor                 0\n",
       "27          Loras                 0\n",
       "80         Tommen                 0\n",
       "38          Bronn                 0\n",
       "39        Podrick                 0\n",
       "52           Elia                 0\n",
       "54          Meryn                 0\n",
       "55        Pycelle                 0\n",
       "56           Shae                 0\n",
       "57          Varys                 0\n",
       "78         Qyburn                 0\n",
       "79          Renly                 0\n",
       "106        Walton                 0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "communities_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inspect nodes in the DataFrame with the modularity class 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node</th>\n",
       "      <th>modularity_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Theon</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Brienne</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Edmure</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lothar</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Catelyn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Hoster</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jeyne</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lysa</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Petyr</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Robb</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Roslin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Sansa</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nan</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Walder</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Luwin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cersei</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Ramsay</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Eddard</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Rickard</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bran</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Brynden</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arya</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Robert Arryn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Rickon</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Roose</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Marillion</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             node  modularity_class\n",
       "36          Theon                 2\n",
       "37        Brienne                 2\n",
       "43         Edmure                 2\n",
       "40         Lothar                 2\n",
       "42        Catelyn                 2\n",
       "44         Hoster                 2\n",
       "45          Jeyne                 2\n",
       "46           Lysa                 2\n",
       "47          Petyr                 2\n",
       "48           Robb                 2\n",
       "49         Roslin                 2\n",
       "50          Sansa                 2\n",
       "35            Nan                 2\n",
       "41         Walder                 2\n",
       "33          Luwin                 2\n",
       "17         Cersei                 2\n",
       "102        Ramsay                 2\n",
       "75         Eddard                 2\n",
       "101       Rickard                 2\n",
       "15           Bran                 2\n",
       "16        Brynden                 2\n",
       "12           Arya                 2\n",
       "98   Robert Arryn                 2\n",
       "22         Rickon                 2\n",
       "23          Roose                 2\n",
       "97      Marillion                 2"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "communities_df[communities_df['modularity_class'] == 2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization with nx_altair"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install nx_altair for visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting nx_altair\n",
      "  Downloading nx_altair-0.1.6-py3-none-any.whl (7.9 kB)\n",
      "Requirement already satisfied: pandas in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from nx_altair) (1.3.2)\n",
      "Requirement already satisfied: altair in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from nx_altair) (4.1.0)\n",
      "Requirement already satisfied: networkx in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from nx_altair) (2.6.3)\n",
      "Requirement already satisfied: entrypoints in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from altair->nx_altair) (0.3)\n",
      "Requirement already satisfied: jinja2 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from altair->nx_altair) (2.11.3)\n",
      "Requirement already satisfied: jsonschema in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from altair->nx_altair) (3.2.0)\n",
      "Requirement already satisfied: toolz in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from altair->nx_altair) (0.11.1)\n",
      "Requirement already satisfied: numpy in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from altair->nx_altair) (1.20.1)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from pandas->nx_altair) (2.8.1)\n",
      "Requirement already satisfied: pytz>=2017.3 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from pandas->nx_altair) (2021.1)\n",
      "Requirement already satisfied: six>=1.5 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas->nx_altair) (1.15.0)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from jinja2->altair->nx_altair) (1.1.1)\n",
      "Requirement already satisfied: attrs>=17.4.0 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from jsonschema->altair->nx_altair) (20.3.0)\n",
      "Requirement already satisfied: pyrsistent>=0.14.0 in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from jsonschema->altair->nx_altair) (0.17.3)\n",
      "Requirement already satisfied: setuptools in /Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages (from jsonschema->altair->nx_altair) (52.0.0.post20210125)\n",
      "Installing collected packages: nx-altair\n",
      "Successfully installed nx-altair-0.1.6\n"
     ]
    }
   ],
   "source": [
    "!pip install nx_altair"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import nx_altair and altair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nx_altair as nxa\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add node name as an attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "for node in G.nodes():\n",
    "    G.nodes[node]['name'] = node"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a network layout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "pos = networkx.spring_layout(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Draw the graph with nx_altair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/melwalsh/opt/anaconda3/lib/python3.8/site-packages/numpy/core/_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  return array(a, dtype, copy=False, order=order)\n"
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\"weighted_degree\": 96, \"degree\": 7, \"betweenness\": 0.0010973522354777933}, {\"y\": -0.24672655718273287, \"x\": -0.11570844898917279, \"modularity_class\": 0, \"name\": \"Myrcella\", \"weighted_degree\": 18, \"degree\": 4, \"betweenness\": 0.0006235971795124951}, {\"y\": 0.09559149401901665, \"x\": -0.5528493775859228, \"modularity_class\": 1, \"name\": \"Dalla\", \"weighted_degree\": 21, \"degree\": 3, \"betweenness\": 0.0}, {\"y\": 0.3892923746549445, \"x\": -0.14134971016624065, \"modularity_class\": 1, \"name\": \"Melisandre\", \"weighted_degree\": 62, \"degree\": 4, \"betweenness\": 0.00860866854841803}, {\"y\": 0.24108439811247384, \"x\": -0.6658646179578891, \"modularity_class\": 1, \"name\": \"Orell\", \"weighted_degree\": 6, \"degree\": 1, \"betweenness\": 0.0}, {\"y\": 0.3257246304444717, \"x\": -0.5329744941962188, \"modularity_class\": 1, \"name\": \"Qhorin\", \"weighted_degree\": 59, \"degree\": 5, \"betweenness\": 0.0002635519616651692}, {\"y\": 0.3236728075545997, \"x\": -0.6035261277362429, \"modularity_class\": 1, \"name\": \"Rattleshirt\", \"weighted_degree\": 44, \"degree\": 4, \"betweenness\": 0.0}, {\"y\": 0.18027309489649257, \"x\": -0.6246412877503306, \"modularity_class\": 1, \"name\": \"Styr\", \"weighted_degree\": 23, \"degree\": 2, \"betweenness\": 0.0}, {\"y\": 0.0432337530350145, \"x\": -0.38866543350441685, \"modularity_class\": 1, \"name\": \"Val\", \"weighted_degree\": 31, \"degree\": 4, \"betweenness\": 0.005898334987101542}, {\"y\": 0.27463430080970846, \"x\": -0.6050738630993979, \"modularity_class\": 1, \"name\": \"Ygritte\", \"weighted_degree\": 82, \"degree\": 4, \"betweenness\": 0.0}, {\"y\": -0.2172569273732983, \"x\": -0.20483853597191717, \"modularity_class\": 3, \"name\": \"Jon Arryn\", \"weighted_degree\": 11, \"degree\": 2, \"betweenness\": 0.0005764583325230229}, {\"y\": -0.614712794050998, \"x\": 0.08304349228006934, \"modularity_class\": 0, \"name\": \"Lancel\", \"weighted_degree\": 7, \"degree\": 1, \"betweenness\": 0.0}, {\"y\": -0.13586859507052068, \"x\": -0.3358905624199231, \"modularity_class\": 0, \"name\": \"Olenna\", \"weighted_degree\": 12, \"degree\": 2, \"betweenness\": 0.0}, {\"y\": -0.21634662031869673, \"x\": -0.33414405796091, \"modularity_class\": 2, \"name\": \"Marillion\", \"weighted_degree\": 23, \"degree\": 3, \"betweenness\": 0.0}, {\"y\": -0.1823408722330026, \"x\": -0.36823149575971414, \"modularity_class\": 2, \"name\": \"Robert Arryn\", \"weighted_degree\": 19, \"degree\": 3, \"betweenness\": 0.0}, {\"y\": -0.4914992674571582, \"x\": -0.01747972675274279, \"modularity_class\": 0, \"name\": \"Ellaria\", \"weighted_degree\": 10, \"degree\": 2, \"betweenness\": 0.0}, {\"y\": -0.3753606600677733, \"x\": -0.0990927376315918, \"modularity_class\": 0, \"name\": \"Mace\", \"weighted_degree\": 20, \"degree\": 3, \"betweenness\": 0.0}, {\"y\": 0.3672114024816793, \"x\": 0.10848635240212783, \"modularity_class\": 2, \"name\": \"Rickard\", \"weighted_degree\": 11, \"degree\": 2, \"betweenness\": 0.0}, {\"y\": 0.45135183355518343, \"x\": 0.035655259556794994, \"modularity_class\": 2, \"name\": \"Ramsay\", \"weighted_degree\": 4, \"degree\": 1, \"betweenness\": 0.0}, {\"y\": -0.46050338060768914, \"x\": -0.15177679111853287, \"modularity_class\": 0, \"name\": \"Chataya\", \"weighted_degree\": 9, \"degree\": 2, \"betweenness\": 0.0}, {\"y\": 0.7670678596475551, \"x\": 0.2927559914785635, \"modularity_class\": 1, \"name\": \"Shireen\", \"weighted_degree\": 5, \"degree\": 1, \"betweenness\": 0.0}, {\"y\": -0.4646492829548879, \"x\": -0.22272270647388623, \"modularity_class\": 0, \"name\": \"Doran\", \"weighted_degree\": 5, \"degree\": 1, \"betweenness\": 0.0}, {\"y\": 0.008990992733873503, \"x\": 0.38834189059489893, \"modularity_class\": 0, \"name\": \"Walton\", \"weighted_degree\": 10, \"degree\": 1, \"betweenness\": 0.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.VConcatChart(...)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viz = nxa.draw_networkx(\n",
    "    G,\n",
    "    pos=pos,\n",
    "    node_color= 'modularity_class',\n",
    "    cmap='viridis',\n",
    "    width=1,\n",
    "    edge_color='black',\n",
    "    node_tooltip = ['name', 'modularity_class']\n",
    ")\n",
    "alt.vconcat(viz)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discussion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- What do you think the communities detected by the modularity algorithm can tell us about the GOT universe?\n",
    "- Which communities make sense, and which, if any, don't seem to make sense?"
   ]
  }
 ],
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