给用户推荐tag

In [1]:
import numpy as np
In [2]:
with open("/Users/Administrator/desktop/cjc/tweet0127.dat", 'rb') as f:
    chunk = f.readlines()
In [7]:
len(chunk)
Out[7]:
11993
In [3]:
import csv

lines = csv.reader((line.replace('\x00','') for line in chunk[1:]), delimiter=',', quotechar='"')
users = [i[9] for i in lines] #users存储所有的用户名数据
In [4]:
lines = csv.reader((line.replace('\x00','') for line in chunk[1:]), delimiter=',', quotechar='"')
tweets =[i[2] for i in lines] #tweets里存储所有的推特文本数据
In [10]:
users[1]
Out[10]:
'OccupyManJose'
In [11]:
tweets[:3]
Out[11]:
["The 27 Republican Bills That Aren't About Jobs  http://t.co/fhcVmqwR  #ows #occupy #opdx",
 "For those interested in #FinancialFriday, the weekly bank march in San Jose, here's more info: http://t.co/cnKv1UJz #OO #OSJ #OSF #OWS",
 "The 27 Republican Bills That Aren't About Jobs  http://t.co/cJnc1HT1  #ows #occupy #opdx"]
In [5]:
import twitter_text
In [6]:
#把tweet文本中的hashtag提取出来
hashtaglist=[]
exlist=[]
for i in range(0,11992):
    tweet = tweets[i]
    ex = twitter_text.Extractor(tweet)
    hashtags = ex.extract_hashtags()
    hashtaglist.append(hashtags)
    i=i+1
In [15]:
hashtaglist[0]
Out[15]:
[u'ows', u'occupy', u'opdx']
In [7]:
dir(twitter_text)
Out[7]:
['Autolink',
 'Extractor',
 'HitHighlighter',
 'TwitterText',
 'Validation',
 '__builtins__',
 '__doc__',
 '__file__',
 '__name__',
 '__package__',
 '__path__',
 'autolink',
 'extractor',
 'force_unicode',
 'highlighter',
 'regex',
 'unicode',
 'validation']
In [17]:
len(hashtaglist)
Out[17]:
11992
In [18]:
len(users)
Out[18]:
11992

构建一个{用户名:{tag:次数}}的字典

In [19]:
userss=list(set(users))#获得一个不重复的用户列表
In [14]:
len(userss)
Out[14]:
4758
In [20]:
#建立一个hash1列表,存放每个用户(不重复)发的所有推特tag
hash1=[]
for i in range(0,4758):
    hash1.append([])
    for j in range(0,11992):
        if users[j]==userss[i]:
            hash1[i]=hash1[i]+hashtaglist[j]
        j=j+1
    i=i+1
In [21]:
hash1[0]
Out[21]:
[u'War',
 u'Armageddon',
 u'USA',
 u'EndWar',
 u'OWS',
 u'Feudal',
 u'wealth',
 u'OWS']
In [22]:
#建立一个列表a存放用户的{tag:次数}数据
a=[]
for i in hash1:
    c={}
    for j in i: 
        c.update({j:i.count(j)})
    a.append(c)
In [20]:
len(a)
Out[20]:
4758
In [21]:
a[0]
Out[21]:
{u'Armageddon': 1,
 u'EndWar': 1,
 u'Feudal': 1,
 u'OWS': 2,
 u'USA': 1,
 u'War': 1,
 u'wealth': 1}
In [23]:
#建立最终我们需要的字典hashdict
hashdict={}
for i in range(4758):
    hashdict.update({userss[i]:a[i]})
In [24]:
len(hashdict)
Out[24]:
4758
In [25]:
hashdict['OccupyManJose']
Out[25]:
{u'FinancialFriday': 2,
 u'OO': 1,
 u'OPDX': 1,
 u'OSF': 1,
 u'OSJ': 2,
 u'OWS': 2,
 u'OccupySanJose': 2,
 u'Solidarity': 1,
 u'oo': 2,
 u'osf': 1,
 u'osj': 2,
 u'ows': 2}
In [26]:
#定义相似性函数
import numpy as np
def sim_distance(prefs,tag1,tag2):
    si={}
    for item in prefs[tag1]:
        if item in prefs[tag2]:
            si[item]=1
    if len(si)==0: return 0
    sum_of_squares=np.sum([np.power(prefs[tag1][item]-prefs[tag2][item],2)
                      for item in prefs[tag1] if item in prefs[tag2]])
    return 1/(1+np.sqrt(sum_of_squares) )
In [26]:
hashdict['dohlink']
Out[26]:
{u'occupy': 2, u'occupyportland': 1, u'opdx': 5, u'ows': 7, u'pdx': 1}
In [27]:
sim_distance(hashdict, 'OccupyManJose','dohlink')
Out[27]:
0.16666666666666666
In [28]:
# 定义相关性函数
def sim_pearson(prefs,p1,p2):
    si={}
    for item in prefs[p1]:
        if item in prefs[p2]: si[item]=1
    n=len(si)
    if n==0: return 0
    sum1=np.sum([prefs[p1][it] for it in si])
    sum2=np.sum([prefs[p2][it] for it in si])
    sum1Sq=np.sum([np.power(prefs[p1][it],2) for it in si])
    sum2Sq=np.sum([np.power(prefs[p2][it],2) for it in si])
    pSum=np.sum([prefs[p1][it]*prefs[p2][it] for it in si])
    num=pSum-(sum1*sum2/n)
    den=np.sqrt((sum1Sq-np.power(sum1,2)/n)*(sum2Sq-np.power(sum2,2)/n))
    if den==0: return 0
    return num/den
In [29]:
sim_pearson(hashdict, 'OccupyManJose','dohlink')
Out[29]:
0
In [30]:
#匹配函数
def topMatches(prefs,person,n=5,similarity=sim_pearson):
    scores=[(similarity(prefs,person,other),other)
        for other in prefs if other!=person]
    scores.sort( )
    scores.reverse( )
    return scores[0:n]
In [31]:
topMatches(hashdict,'OccupyManJose',n=3)
Out[31]:
[(1.1547005383792517, 'msofia7'),
 (1.1547005383792517, 'HenryThorough'),
 (1.0327955589886444, 'idrobinhood')]
In [32]:
#翻转键值对
def transformPrefs(prefs):
    result={}
    for person in prefs:
        for item in prefs[person]:
            result.setdefault(item,{})
            # Flip item and person
            result[item][person]=prefs[person][item]
    return result

hashdict2 = transformPrefs(hashdict)
In [33]:
topMatches(hashdict2,'ows')
D:\Anaconda\lib\site-packages\ipykernel\__main__.py:14: RuntimeWarning: overflow encountered in int_scalars
D:\Anaconda\lib\site-packages\ipykernel\__main__.py:14: RuntimeWarning: invalid value encountered in sqrt
Out[33]:
[(1.1547005383792517, u'rush'),
 (1.1547005383792517, u'asamomorg'),
 (1.1547005383792517, u'Oil'),
 (1.0690449676496976, u'Chinese'),
 (1.044465935734187, u'drones')]
In [34]:
#定义tag的相似性函数
def calculateSimilarItems(prefs,n=20):
    result={}
    itemPrefs=transformPrefs(prefs)
    c=0
    for item in itemPrefs:
        c+=1
        if c%100==0: 
            print "%d / %d" % (c,len(itemPrefs))
        scores=topMatches(itemPrefs,item,n=n,similarity=sim_distance)
        result[item]=scores
    return result

itemsim=calculateSimilarItems(hashdict) 
itemsim
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3500 / 3570
Out[34]:
{u'WhoseWinning': [(1.0, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut'),
  (0, u'york'),
  (0, u'yippiecafe'),
  (0, u'yemen'),
  (0, u'yay'),
  (0, u'xtube'),
  (0, u'wtop'),
  (0, u'wtf'),
  (0, u'wsj')],
 u'Communism': [(1.0, u'unemployment'),
  (1.0, u'sgp'),
  (1.0, u'rs'),
  (1.0, u'rnc'),
  (1.0, u'occupy'),
  (1.0, u'nationaldebt'),
  (1.0, u'liberal'),
  (1.0, u'icon'),
  (1.0, u'fl'),
  (1.0, u'economy'),
  (1.0, u'dem'),
  (1.0, u'OccupyOmaha'),
  (1.0, u'Obama'),
  (1.0, u'OWS'),
  (1.0, u'EPA'),
  (1.0, u'BirthCertificate'),
  (0.5, u'topprog'),
  (0.5, u'ocra'),
  (0.5, u'jobs'),
  (0.5, u'debt')],
 u'Bailed': [(1.0, u'Treasury'),
  (1.0, u'Tahrir'),
  (1.0, u'Syria'),
  (1.0, u'Revolution'),
  (1.0, u'Protest'),
  (1.0, u'Massacre'),
  (1.0, u'Killed'),
  (1.0, u'Bailout'),
  (1.0, u'ArabSpring'),
  (1.0, u'Activism'),
  (0.5, u'Occupy'),
  (0.5, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople')],
 u'29E': [(1.0, u'Camps'),
  (0.5, u'Vaeo'),
  (0.5, u'Uncut'),
  (0.5, u'Sol'),
  (0.5, u'Occupy'),
  (0.5, u'OWS'),
  (0.5, u'DRY'),
  (0.5, u'AgSol'),
  (0.5, u'15O'),
  (0.5, u'15M'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist')],
 u'Occupyboston': [(1.0, u'ows'),
  (1.0, u'ow'),
  (1.0, u'oo'),
  (1.0, u'occupylondon'),
  (1.0, u'OccupyBoston'),
  (1.0, u'OccupyAtlanta'),
  (1.0, u'Boston'),
  (0.5, u'occupy'),
  (0.5, u'Occupy'),
  (0.33333333333333331, u'RafidainBank'),
  (0.33333333333333331, u'Occupylondon'),
  (0.25, u'Occupylsx'),
  (0.20000000000000001, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews')],
 u'protest': [(1.0, u'workingpoor'),
  (1.0, u'workers'),
  (1.0, u'wallstreet'),
  (1.0, u'university'),
  (1.0, u'unions'),
  (1.0, u'truthers'),
  (1.0, u'teamsters'),
  (1.0, u'realradical'),
  (1.0, u'radical'),
  (1.0, u'public'),
  (1.0, u'onepercent'),
  (1.0, u'occupyvancouver'),
  (1.0, u'occupytruth'),
  (1.0, u'occupytrust'),
  (1.0, u'occupytime'),
  (1.0, u'occupythis'),
  (1.0, u'occupyok'),
  (1.0, u'occupyfbi'),
  (1.0, u'occupycia'),
  (1.0, u'occupyboston')],
 u'owsnyc': [(1.0, u'worldpeace'),
  (1.0, u'tyranny'),
  (1.0, u'topprog'),
  (1.0, u'slaves2xorps'),
  (1.0, u'sheeple'),
  (1.0, u'science'),
  (1.0, u'republicandebate'),
  (1.0, u'policeState'),
  (1.0, u'opflower'),
  (1.0, u'occupyboston'),
  (1.0, u'occupyUmass'),
  (1.0, u'occupySF'),
  (1.0, u'occupy'),
  (1.0, u'lgbt'),
  (1.0, u'health'),
  (1.0, u'globalrEvolution'),
  (1.0, u'freespeech'),
  (1.0, u'evolve'),
  (1.0, u'boycottHOLLYWOOD'),
  (1.0, u'billofrights')],
 u'occupycanada': [(1.0, u'uspoli'),
  (1.0, u'radical'),
  (1.0, u'ows'),
  (1.0, u'nspoli'),
  (1.0, u'halifax'),
  (1.0, u'cdnpoli'),
  (1.0, u'OccupyUSA'),
  (1.0, u'OccupyNS'),
  (1.0, u'OWS'),
  (1.0, u'Newt'),
  (1.0, u'Gingrich'),
  (1.0, u'GOP'),
  (1.0, u'D17'),
  (1.0, u'Alinsky'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth')],
 u'AGW': [(1.0, u'gop'),
  (1.0, u'dnc'),
  (1.0, u'NRA'),
  (1.0, u'FF'),
  (1.0, u'BailOutJesus'),
  (0.5, u'TeaParty'),
  (0.14285714285714285, u'tpot'),
  (0.14285714285714285, u'tlot'),
  (0.14285714285714285, u'tcot'),
  (0.125, u'p2'),
  (0.083333333333333329, u'ows'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems')],
 u'NYC': [(1.0, u'venezuela'),
  (1.0, u'unOccupyPalestine'),
  (1.0, u'troika'),
  (1.0, u'transparency'),
  (1.0, u'refugees'),
  (1.0, u'racism'),
  (1.0, u'privatization'),
  (1.0, u'osf'),
  (1.0, u'oo'),
  (1.0, u'odc'),
  (1.0, u'occupynashville'),
  (1.0, u'occupyLA'),
  (1.0, u'occ'),
  (1.0, u'netanyahu'),
  (1.0, u'medicina'),
  (1.0, u'g8'),
  (1.0, u'empire'),
  (1.0, u'drones'),
  (1.0, u'douchebag'),
  (1.0, u'c\xe1rceles')],
 u'nwo': [(1.0, u'gop'),
  (1.0, u'dems'),
  (1.0, u'altmedia'),
  (1.0, u'OWS'),
  (0.5, u'propaganda'),
  (0.5, u'occupyboston'),
  (0.5, u'nypd'),
  (0.5, u'fldebate'),
  (0.5, u'drones'),
  (0.41421356237309509, u'teaparty'),
  (0.33333333333333331, u'twister'),
  (0.33333333333333331, u'toct'),
  (0.33333333333333331, u'tlot'),
  (0.33333333333333331, u'teapparty'),
  (0.33333333333333331, u'teapartty'),
  (0.33333333333333331, u'ronpaul'),
  (0.33333333333333331, u'occupyoakland'),
  (0.33333333333333331, u'occupynyc'),
  (0.33333333333333331, u'occupyla'),
  (0.33333333333333331, u'occupydavis')],
 u'Marines': [(1.0, u'usrevolution'),
  (1.0, u'usdor'),
  (1.0, u'topprog'),
  (1.0, u'osyd'),
  (1.0, u'oo'),
  (1.0, u'omel'),
  (1.0, u'olsx'),
  (1.0, u'occupy'),
  (1.0, u'nycga'),
  (1.0, u'anonymous'),
  (1.0, u'Razboiul'),
  (1.0, u'ROMANIA'),
  (1.0, u'PiataUniversitatii'),
  (1.0, u'OccupyNY'),
  (1.0, u'Design'),
  (1.0, u'Bloomberg'),
  (1.0, u'ACTA'),
  (0.5, u'p2'),
  (0.5, u'ows'),
  (0.5, u'moveyourmoney')],
 u'RadicalTransparency': [(1.0, u'viezescholen'),
  (1.0, u'tyt'),
  (1.0, u'tweetboat'),
  (1.0, u'tlot'),
  (1.0, u'tcot'),
  (1.0, u'spanishrevolution'),
  (1.0, u'socialmedia'),
  (1.0, u'sgp'),
  (1.0, u'schoonmakers'),
  (1.0, u'progressive'),
  (1.0, u'politics'),
  (1.0, u'policebrutality'),
  (1.0, u'policeBrutality'),
  (1.0, u'oumb'),
  (1.0, u'ohb'),
  (1.0, u'occupywallstreet'),
  (1.0, u'occupyour'),
  (1.0, u'occupynieuws'),
  (1.0, u'occupymexico'),
  (1.0, u'occupylondon')],
 u'paris': [(1.0, u'sydney'),
  (1.0, u'solidarity'),
  (1.0, u'rome'),
  (1.0, u'rock'),
  (1.0, u'music'),
  (1.0, u'friends'),
  (1.0, u'europe'),
  (1.0, u'beijing'),
  (1.0, u'australia'),
  (1.0, u'artist'),
  (1.0, u'FF'),
  (0.5, u'Reutlingen'),
  (0.5, u'Remscheid'),
  (0.5, u'Pforzheim'),
  (0.5, u'Offenbach'),
  (0.5, u'Bremerhaven'),
  (0.5, u'Boltrop'),
  (0.5, u'Bergedorp'),
  (0.25, u'ows'),
  (0, u'\xd1ew\xdf')],
 u'Mitt': [(1.0, u'wiunion'),
  (1.0, u'tpot'),
  (1.0, u'topprog'),
  (1.0, u'tlot'),
  (1.0, u'ows'),
  (1.0, u'occupy'),
  (1.0, u'healthcare'),
  (1.0, u'free'),
  (1.0, u'This'),
  (1.0, u'TeaParty'),
  (1.0, u'Santorum'),
  (1.0, u'Romney'),
  (1.0, u'OccupyWallStreet'),
  (1.0, u'OccupyUSA'),
  (1.0, u'OccupyKoch'),
  (1.0, u'OccupyDC'),
  (1.0, u'Newt'),
  (1.0, u'Mittens'),
  (1.0, u'MTP'),
  (1.0, u'GetMoneyOut')],
 u'ChildrensVillage': [(1.0, u'homeless'),
  (1.0, u'OccupyLove'),
  (1.0, u'J28'),
  (1.0, u'1of45children'),
  (0.5, u'youth'),
  (0.5, u'ows'),
  (0.5, u'occupyoakland'),
  (0.5, u'occupy'),
  (0.5, u'movein'),
  (0.5, u'foreclosure'),
  (0.5, u'decolonize'),
  (0.5, u'OccupyOakland'),
  (0.5, u'OccupyBuildings'),
  (0.5, u'OWSWest'),
  (0.5, u'OWS'),
  (0.5, u'OO'),
  (0.5, u'NDNZ'),
  (0.5, u'Movein'),
  (0.5, u'MoveIn'),
  (0.5, u'LOVE')],
 u'G8': [(1.0, u'yemen'),
  (1.0, u'walkthewalk'),
  (1.0, u'victories'),
  (1.0, u'unonymous'),
  (1.0, u'unemployment'),
  (1.0, u'tyt'),
  (1.0, u'twittercensor'),
  (1.0, u'transparency'),
  (1.0, u'tlot'),
  (1.0, u'the99percent'),
  (1.0, u'the99'),
  (1.0, u'syria'),
  (1.0, u'streetmedic'),
  (1.0, u'stopacta'),
  (1.0, u'sopa'),
  (1.0, u'shutitdown'),
  (1.0, u'resist'),
  (1.0, u'politics'),
  (1.0, u'policestate'),
  (1.0, u'pipa')],
 u'NewYork': [(1.0, u'venezuela'),
  (1.0, u'occupyLA'),
  (1.0, u'medicina'),
  (1.0, u'c\xe1rceles'),
  (1.0, u'Texas'),
  (1.0, u'SanFrancisco'),
  (1.0, u'Occupynyc'),
  (1.0, u'NYC'),
  (1.0, u'LosAngeles'),
  (1.0, u'Boston'),
  (0.5, u'owsnyc'),
  (0.5, u'occupySF'),
  (0.5, u'Occupy'),
  (0.5, u'Espa\xf1a'),
  (0.5, u'Chile'),
  (0.5, u'Argentina'),
  (0.33333333333333331, u'M\xe9xico'),
  (0.33333333333333331, u'FreeTheFive'),
  (0.33333333333333331, u'Cuba'),
  (0.25, u'OccupySF')],
 u'ChessPieces': [(1.0, u'wtf'),
  (1.0, u'pipa'),
  (1.0, u'eea'),
  (1.0, u'PrECISE'),
  (1.0, u'Obama'),
  (1.0, u'CitizensUnited'),
  (1.0, u'CNNDebate'),
  (0.5, u'sopa'),
  (0.5, u'ndaa'),
  (0.33333333333333331, u'ows'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist')],
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  (1.0, u'oo'),
  (1.0, u'occupywallst'),
  (1.0, u'occupyoakland'),
  (1.0, u'occupyarrests'),
  (1.0, u'oakland'),
  (1.0, u'f29'),
  (1.0, u'edinburgh'),
  (1.0, u'Revolutions'),
  (1.0, u'OccupyWallStreet'),
  (1.0, u'OccupyTIPS'),
  (1.0, u'FF'),
  (1.0, u'Civicaction'),
  (1.0, u'Anonymous'),
  (1.0, u'15O'),
  (0.5, u'occupy'),
  (0.5, u'Occupy')],
 u'onelove': [(1.0, u'unemployment'),
  (1.0, u'the99'),
  (1.0, u'ows'),
  (1.0, u'anonymous'),
  (1.0, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut'),
  (0, u'york'),
  (0, u'yippiecafe'),
  (0, u'yemen'),
  (0, u'yay')],
 u'crisis': [(1.0, u'technology'),
  (1.0, u'restaurants'),
  (1.0, u'nyc'),
  (1.0, u'newyork'),
  (1.0, u'iPad'),
  (1.0, u'g'),
  (1.0, u'food'),
  (1.0, u'colonialism'),
  (1.0, u'coffee'),
  (1.0, u'capitalism'),
  (1.0, u'apple'),
  (1.0, u'TTOT'),
  (1.0, u'RhetInqui'),
  (1.0, u'RT'),
  (1.0, u'OWS'),
  (1.0, u'NuevaYork'),
  (1.0, u'DistrictRT'),
  (1.0, u'Bagels'),
  (0.5, u'ows'),
  (0, u'\xd1ew\xdf')],
 u'Australia': [(1.0, u'tentembassy'),
  (1.0, u'ronpaul'),
  (1.0, u'racism'),
  (1.0, u'owned'),
  (1.0, u'news'),
  (1.0, u'freedom'),
  (1.0, u'endthefed'),
  (1.0, u'billmaher'),
  (1.0, u'Politicians'),
  (1.0, u'PIPA'),
  (1.0, u'OWS'),
  (1.0, u'Megupload'),
  (1.0, u'InvasionDay'),
  (1.0, u'BDS'),
  (1.0, u'ACTA'),
  (0.5, u'sopa'),
  (0.5, u'ndaa'),
  (0.5, u'getmoneyout'),
  (0.5, u'RT'),
  (0.33333333333333331, u'tyt')],
 u'NYTimes': [(1.0, u'OWS'),
  (1.0, u'NYPD'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut'),
  (0, u'york'),
  (0, u'yippiecafe'),
  (0, u'yemen'),
  (0, u'yay'),
  (0, u'xtube'),
  (0, u'wtop'),
  (0, u'wtf')],
 u'wealth': [(1.0, u'fairness'),
  (1.0, u'cash'),
  (1.0, u'War'),
  (1.0, u'USA'),
  (1.0, u'OSF'),
  (1.0, u'OO'),
  (1.0, u'Feudal'),
  (1.0, u'EndWar'),
  (1.0, u'Armageddon'),
  (0.5, u'timemachine'),
  (0.5, u'stocks'),
  (0.5, u'oil'),
  (0.5, u'markets'),
  (0.5, u'lies'),
  (0.5, u'law'),
  (0.5, u'gold'),
  (0.5, u'equity'),
  (0.5, u'cheating'),
  (0.076923076923076927, u'OccupyLSX'),
  (0.0625, u'OccupyWallStreet')],
 u'PeopleOverProfits': [(1.0, u'p2'),
  (1.0, u'ows'),
  (1.0, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut'),
  (0, u'york'),
  (0, u'yippiecafe'),
  (0, u'yemen'),
  (0, u'yay'),
  (0, u'xtube'),
  (0, u'wtop')],
 u'angry': [(1.0, u'taxpayers'),
  (0.5, u'voters'),
  (0.5, u'stop'),
  (0.5, u'sotu'),
  (0.5, u'medicare'),
  (0.5, u'law'),
  (0.5, u'help'),
  (0.5, u'fraud'),
  (0.5, u'SOTU'),
  (0.5, u'OccupyMedia'),
  (0.5, u'OWS'),
  (0.5, u'AARP'),
  (0.33333333333333331, u'voter'),
  (0.33333333333333331, u'shame'),
  (0.33333333333333331, u'occupycolleges'),
  (0.33333333333333331, u'insidertrading'),
  (0.20000000000000001, u'congress'),
  (0.20000000000000001, u'GOP'),
  (0.14285714285714285, u'taxpayer'),
  (0.125, u'elect')],
 u'retweeted': [(1.0, u'p2'),
  (1.0, u'liberty'),
  (1.0, u'freespeech'),
  (1.0, u'favorited'),
  (1.0, u'Twitter'),
  (1.0, u'Tweeted'),
  (1.0, u'Obama'),
  (1.0, u'Joke'),
  (1.0, u'FF'),
  (1.0, u'Education'),
  (0.5, u'Tweets'),
  (0.5, u'Knicks'),
  (0.25, u'altnews'),
  (0.20000000000000001, u'ows'),
  (0.14285714285714285, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube')],
 u'GetMoneyOut': [(1.0, u'rofl'),
  (1.0, u'republican'),
  (1.0, u'occupywallst'),
  (1.0, u'occupyarrests'),
  (1.0, u'occupy'),
  (1.0, u'obama'),
  (1.0, u'nvteach'),
  (1.0, u'nved'),
  (1.0, u'newt'),
  (1.0, u'green'),
  (1.0, u'fldebate'),
  (1.0, u'edshow'),
  (1.0, u'dems'),
  (1.0, u'conservative'),
  (1.0, u'This'),
  (1.0, u'SignsYoureBeingCheatedOn'),
  (1.0, u'SOTU'),
  (1.0, u'Romney'),
  (1.0, u'Reagan'),
  (1.0, u'RT')],
 u'live': [(1.0, u'unonymous'),
  (1.0, u'unity'),
  (1.0, u'unemployment'),
  (1.0, u'twittercensor'),
  (1.0, u'transparency'),
  (1.0, u'tlot'),
  (1.0, u'the99'),
  (1.0, u'tcot'),
  (1.0, u'syntagma'),
  (1.0, u'solidarity'),
  (1.0, u'smwknd'),
  (1.0, u'revolution'),
  (1.0, u'raid'),
  (1.0, u'racism'),
  (1.0, u'protestsongs'),
  (1.0, u'policestate'),
  (1.0, u'pUNkCr3w'),
  (1.0, u'p21'),
  (1.0, u'p2'),
  (1.0, u'otbr')],
 u'AMERICA': [(1.0, u'USA'),
  (1.0, u'TPOT'),
  (1.0, u'TLOT'),
  (1.0, u'TEAPARTY'),
  (1.0, u'TCOT'),
  (1.0, u'P2'),
  (1.0, u'OWS'),
  (1.0, u'ONEPEOPLE'),
  (1.0, u'ONELOVE'),
  (1.0, u'ONEHEART'),
  (1.0, u'ONECOUNTRY'),
  (1.0, u'NOH8'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople')],
 u'acampadaparis': [(1.0, u'syntagma'),
  (1.0, u'spanishrevolution'),
  (1.0, u'solidarity'),
  (1.0, u'occupyLSX'),
  (1.0, u'globalrevolution'),
  (1.0, u'OWS'),
  (1.0, u'15m'),
  (0.5, u'ows'),
  (0.5, u'occupy'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut')],
 u'TheGrey': [(1.0, u'value'),
  (1.0, u'teaparty'),
  (1.0, u'society'),
  (1.0, u'scripture'),
  (1.0, u'quote'),
  (1.0, u'occupydc'),
  (1.0, u'moral'),
  (1.0, u'kingdom'),
  (1.0, u'kids'),
  (1.0, u'future'),
  (1.0, u'dreams'),
  (1.0, u'Zionist'),
  (1.0, u'WMU'),
  (1.0, u'Vampire'),
  (1.0, u'TylerPerry'),
  (1.0, u'TwitterCensored'),
  (1.0, u'TonyRobbins'),
  (1.0, u'TomCruise'),
  (1.0, u'Terrorist'),
  (1.0, u'Teachers')],
 u'Shalom': [(1.0, u'Peace'),
  (1.0, u'OccupyLSX'),
  (1.0, u'Israel'),
  (1.0, u'Iran'),
  (1.0, u'Anonymous'),
  (0.5, u'OWS'),
  (0, u'\xd1ew\xdf'),
  (0, u'zoomit'),
  (0, u'yup'),
  (0, u'youworkfortheman'),
  (0, u'youtube'),
  (0, u'youth'),
  (0, u'youranonnews'),
  (0, u'youpeople'),
  (0, u'youngfems'),
  (0, u'youmightbeaterrorist'),
  (0, u'youcut'),
  (0, u'york'),
  (0, u'yippiecafe'),
  (0, u'yemen')],
 u'OpEpoch': [(1.0, u'wageslavery'),
  (1.0, u'unonymous'),
  (1.0, u'the99percent'),
  (1.0, u'the99'),
  (1.0, u'teaparty'),
  (1.0, u'tdot'),
  (1.0, u'tcot'),
  (1.0, u'sopa'),
  (1.0, u'socialmedia'),
  (1.0, u'policebrutality'),
  (1.0, u'pUNkCr3w'),
  (1.0, u'p21'),
  (1.0, u'oumbraid'),
  (1.0, u'oumb'),
  (1.0, u'occupywallstreet'),
  (1.0, u'occupyumass'),
  (1.0, u'occupyoakland'),
  (1.0, u'occupyiowa'),
  (1.0, u'occupydsm'),
  (1.0, u'occupychicago')],
 ...}
In [35]:
#定义推荐tag的函数
def getRecommendedItems(prefs,itemMatch,user):
    userRatings=prefs[user]
    scores={}
    totalSim={}
    for (item,rating) in userRatings.items( ):
        for (similarity,item2) in itemMatch[item]:
            if item2 in userRatings: continue
            scores.setdefault(item2,0)
            scores[item2]+=similarity*rating
            totalSim.setdefault(item2,0)
            totalSim[item2]+=similarity
    rankings=[(score/totalSim[item],item) for item,score in scores.items( )]
    rankings.sort( )
    rankings.reverse( )
    return rankings

getRecommendedItems(hashdict,itemsim,'OccupyManJose')
Out[35]:
[(2.0, u'zoomit'),
 (2.0, u'youranonnews'),
 (2.0, u'yippiecafe'),
 (2.0, u'yay'),
 (2.0, u'wtop'),
 (2.0, u'worldwide'),
 (2.0, u'worldrevolution'),
 (2.0, u'workersrights'),
 (2.0, u'word'),
 (2.0, u'woo'),
 (2.0, u'woccupy'),
 (2.0, u'wn'),
 (2.0, u'withnewt'),
 (2.0, u'withNewt'),
 (2.0, u'winning'),
 (2.0, u'wildlife'),
 (2.0, u'wikileaks'),
 (2.0, u'wellplayed'),
 (2.0, u'welfare'),
 (2.0, u'weeds'),
 (2.0, u'weare99'),
 (2.0, u'water'),
 (2.0, u'wallstreet'),
 (2.0, u'wakeupamerica'),
 (2.0, u'vvvpr'),
 (2.0, u'vt'),
 (2.0, u'voters'),
 (2.0, u'videoforchange'),
 (2.0, u'video4change'),
 (2.0, u'usimperialism'),
 (2.0, u'usdor'),
 (2.0, u'uncut'),
 (2.0, u'ul4p'),
 (2.0, u'tzm'),
 (2.0, u'tvp'),
 (2.0, u'truthnow'),
 (2.0, u'topprog'),
 (2.0, u'tcot'),
 (2.0, u'shutDowntheBanks'),
 (2.0, u'senate'),
 (2.0, u'resist'),
 (2.0, u'realradical'),
 (2.0, u'polisario'),
 (2.0, u'p21'),
 (2.0, u'ouk'),
 (2.0, u'otxx'),
 (2.0, u'osyd'),
 (2.0, u'osd'),
 (2.0, u'ophx'),
 (2.0, u'opesr'),
 (2.0, u'opdx'),
 (2.0, u'oomovein'),
 (2.0, u'ooTAC'),
 (2.0, u'omel'),
 (2.0, u'ogp'),
 (2.0, u'of'),
 (2.0, u'odc'),
 (2.0, u'ochi'),
 (2.0, u'occupywallstreet'),
 (2.0, u'occupyumb'),
 (2.0, u'occupyucdavis'),
 (2.0, u'occupytogether'),
 (2.0, u'occupysf'),
 (2.0, u'occupysacto'),
 (2.0, u'occupyromance'),
 (2.0, u'occupyraid'),
 (2.0, u'occupyoakland'),
 (2.0, u'occupynashville'),
 (2.0, u'occupymovement'),
 (2.0, u'occupykc'),
 (2.0, u'occupyhouston'),
 (2.0, u'occupydfw'),
 (2.0, u'occupydenver'),
 (2.0, u'occupydc'),
 (2.0, u'occupydallas'),
 (2.0, u'occupyca'),
 (2.0, u'occupyboston'),
 (2.0, u'occupyaustin'),
 (2.0, u'occupyEverything'),
 (2.0, u'occupy'),
 (2.0, u'oakmtg'),
 (2.0, u'oWS'),
 (2.0, u'nlg'),
 (2.0, u'londonlsx'),
 (2.0, u'j27'),
 (2.0, u'globalRevolution'),
 (2.0, u'giabo'),
 (2.0, u'freedom'),
 (2.0, u'anonops'),
 (2.0, u'OccupyTogether'),
 (2.0, u'OccupyLondon'),
 (1.75, u'youpeople'),
 (1.6666666666666667, u'unonymous'),
 (1.6666666666666667, u'texas'),
 (1.5, u'youth'),
 (1.5, u'youmightbeaterrorist'),
 (1.5, u'wirecall'),
 (1.5, u'wethepeople'),
 (1.5, u'usrevolution'),
 (1.5, u'theylive'),
 (1.5, u'tahrir'),
 (1.5, u'stopmonsanto'),
 (1.5, u'solidarity'),
 (1.5, u'ronpaul2012'),
 (1.5, u'revolution'),
 (1.5, u'raid'),
 (1.3333333333333333, u'yemen'),
 (1.3333333333333333, u'twitterBlackout'),
 (1.3333333333333333, u'turnoffyourTV'),
 (1.3333333333333333, u'syria'),
 (1.3333333333333333, u'sotu'),
 (1.3333333333333333, u'smwknd'),
 (1.25, u'unions'),
 (1.25, u'socialmedia'),
 (1.0, u'\xd1ew\xdf'),
 (1.0, u'wordpress'),
 (1.0, u'wiunion'),
 (1.0, u'wealth'),
 (1.0, u'wageslavery'),
 (1.0, u'viezescholen'),
 (1.0, u'victories'),
 (1.0, u'unity'),
 (1.0, u'unitedwestand'),
 (1.0, u'unifiedleft'),
 (1.0, u'unemployment'),
 (1.0, u'tyt'),
 (1.0, u'twittercensorship'),
 (1.0, u'twittercensor'),
 (1.0, u'twitter'),
 (1.0, u'tweetboat'),
 (1.0, u'trollrats'),
 (1.0, u'transparency'),
 (1.0, u'tpot'),
 (1.0, u'tlot'),
 (1.0, u'the99percent'),
 (1.0, u'teaparty'),
 (1.0, u'stribpol'),
 (1.0, u'streetmedic'),
 (1.0, u'streetart'),
 (1.0, u'stopacta'),
 (1.0, u'spanishrevolution'),
 (1.0, u'sopa'),
 (1.0, u'sonofabitch'),
 (1.0, u'socialjustice'),
 (1.0, u'sgp'),
 (1.0, u'sd'),
 (1.0, u'schoonmakers'),
 (1.0, u'sandiego'),
 (1.0, u'ronpaul'),
 (1.0, u'riaa'),
 (1.0, u'reoccupation'),
 (1.0, u'realtalk'),
 (1.0, u'quoteboat'),
 (1.0, u'progressive'),
 (1.0, u'politics'),
 (1.0, u'policebrutality')]

构建用户评论网络

In [8]:
#提取出@的用户
import re
tweet = u"RT @TheNewDeal: Dear Republicans, ALL YOUR ANCESTORS IMMIGRATED HERE.If You're Not a Native American Indian, Shut the Hell Up. #OWS #p2 #tcot"
RTpattern = r'''@(\w+)'''
for word in re.findall(RTpattern,tweet):
    print word
TheNewDeal
In [9]:
#将有转发评论关系的用户分别存放在rtusers和usersss中
rtusers=[]
usersss=[]
for i in range(11992):
    for word in re.findall(RTpattern,tweets[i]):
        rtusers.append(word)
        usersss.append(users[i])
    i=i+1
In [11]:
rtusers[:5]
Out[11]:
['TheNewDeal', 'dissentmagazine', 'TheNewDeal', 'OccupyAustin', 'kennethlipp']
In [12]:
usersss[:5]
Out[12]:
['CoolR1a', 'symphily', 'Amy_Etkind', 'SilverJediShade', 'SilverJediShade']
In [10]:
link_author_dict = {}
for i in range(len(rtusers)):
    link_author_dict[usersss[i]] =rtusers[i]
In [11]:
link_author_dict['CoolR1a']
Out[11]:
'TheNewDeal'
In [12]:
graph=[]
for i in range(len(rtusers)):
    graph.append((usersss[i],rtusers[i]))
    i=i+1
In [23]:
import networkx as nx
G = nx.DiGraph()
for x,y in graph:
    if x != y:
        G.add_edge(x,y)
In [14]:
nx.info(G)
Out[14]:
'Name: \nType: DiGraph\nNumber of nodes: 5333\nNumber of edges: 8247\nAverage in degree:   1.5464\nAverage out degree:   1.5464'
In [15]:
nx.average_degree_connectivity(G)
Out[15]:
{1: 36.94115680374457,
 2: 26.805858987090367,
 3: 33.733333333333334,
 4: 25.55592105263158,
 5: 22.165467625899282,
 6: 20.78228228228228,
 7: 19.266409266409266,
 8: 15.262254901960784,
 9: 19.11111111111111,
 10: 15.58,
 11: 16.54025974025974,
 12: 13.25925925925926,
 13: 17.46153846153846,
 14: 11.627551020408163,
 15: 14.985185185185186,
 16: 10.86111111111111,
 17: 9.784313725490197,
 18: 10.712121212121213,
 19: 8.151315789473685,
 20: 26.925,
 21: 11.412698412698413,
 22: 13.902597402597403,
 23: 2.6335403726708075,
 24: 6.666666666666667,
 25: 4.44,
 26: 3.480769230769231,
 27: 11.24074074074074,
 28: 5.511904761904762,
 29: 3.0258620689655173,
 30: 6.355555555555555,
 31: 19.129032258064516,
 32: 26.072916666666668,
 33: 15.242424242424242,
 34: 17.08823529411765,
 36: 6.430555555555555,
 37: 1.6216216216216217,
 38: 3.473684210526316,
 39: 10.871794871794872,
 40: 1.35,
 41: 9.585365853658537,
 43: 0.47674418604651164,
 45: 15.777777777777779,
 47: 24.23404255319149,
 48: 5.416666666666667,
 49: 14.857142857142858,
 50: 11.02,
 51: 10.72549019607843,
 52: 1.4230769230769231,
 53: 1.9811320754716981,
 61: 13.737704918032787,
 68: 3.088235294117647,
 69: 9.985507246376812,
 74: 0.10810810810810811,
 79: 16.20253164556962,
 92: 3.130434782608696,
 98: 13.204081632653061,
 103: 0.22330097087378642,
 106: 0.0,
 110: 14.6,
 111: 0.05405405405405406,
 133: 0.0,
 157: 0.0,
 171: 0.0,
 356: 2.3230337078651684}
In [16]:
nx.average_neighbor_degree(G)
Out[16]:
{'Fesiconnection': 0.0,
 'LaurenLaCapra': 0.0,
 'wikinukes': 1.6666666666666667,
 'fisheggtree': 0.0,
 'StreamOfQubits': 0.0,
 'greendoula': 1.0,
 'DietCokeUS': 0.0,
 'Dan4Liberty': 0.0,
 'vizuality2': 0.0,
 'lwats80': 2.0,
 'OmaiBJeezus': 0.0,
 'Samwise': 0.0,
 'GaianCollective': 0.0,
 'occupysebas': 0.0,
 'occupycanada': 0.0,
 'DakotaLeeC': 0.0,
 'OccupyNewsthe99': 0.0,
 'INGRID58NL': 0.0,
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 'mwvdragon': 1.0,
 'Lalo_T': 0.0,
 '__LUCHIA': 0.0,
 'greatgodfrey': 1.0,
 'alizafield': 0.0,
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 'fatheadrhino': 1.3333333333333333,
 'atgiggleswick': 6.0,
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 'davetell': 15.0,
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 'iPhone_News': 0.0,
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 'dredeyedick': 4.333333333333333,
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 'restorereality': 0.0,
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 'LunchmeatINK': 4.5,
 'Jtaylorvt': 0.0,
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 'tyrnykillr': 10.666666666666666,
 'OccupyPix': 3.888888888888889,
 'Revodett4': 8.0,
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 'govsocgradessex': 2.0,
 'Digg': 0.0,
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 'Telegraph': 0.0,
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 'dartigen': 2.0,
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 'WhenOnKStreet': 2.0,
 ...}
In [26]:
nx.closeness_centrality(G)
Out[26]:
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 'DaynaR': 0.01428501272367431,
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 'OccupyWallStNYC': 0.016334006067888655,
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 'sacgreenparty': 0.00018754688672168043,
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 'dwsNY': 0.010814325857493428,
 'EatingMyPeaz': 0.0006076519129782445,
 'Humansphere1': 0.00018754688672168043,
 'leapupatelli': 0.0002500625156289072,
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 'P2Blogs': 0.00228628585717858,
 'stiNgo100': 0.0003375843960990247,
 'dartigen': 0.011380314874842548,
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 'Bliadhnaichean': 0.00018754688672168043,
 'OccupySecession': 0.0020669229807451866,
 'keitholbermann': 0.0,
 'donatodonati': 0.012501491730436826,
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 ...}
In [14]:
GU=G.to_undirected(reciprocal=True)
graphs = list(nx.connected_component_subgraphs(GU))
In [16]:
import numpy as np
size = []
for i in graphs:
    size.append(len(i.nodes()))
len(size), np.max(size)
Out[16]:
(5204, 9)
In [36]:
gs = []
for i in graphs:
    if len(i.nodes()) >3:
        gs.append(i)
len(gs)
Out[36]:
12
In [37]:
for g in gs:
    print len(g.nodes())
4
4
8
4
4
4
5
4
5
9
8
5
In [38]:
g_max = gs[0]
len(g_max.nodes())
Out[38]:
4
In [40]:
import matplotlib.pyplot as plt
pos = nx.spring_layout(G)          
nx.draw(G,pos,with_labels=False,node_size = 5,node_color= 'lightblue' ,alpha=0.5, edge_color='grey') 
plt.show()  
In [43]:
import matplotlib
import matplotlib.pyplot as plt
matplotlib.rc("savefig", dpi=400)
pos = nx.spring_layout(G)          
#定义一个布局,此处采用了spectral布局方式,后变还会介绍其它布局方式,注意图形上的区别
nx.draw(G,pos,with_labels=False,node_size = 5,node_color= 'lightblue' ,alpha=0.8, edge_color='grey') 
#绘制规则图的图形,with_labels决定节点是非带标签(编号),node_size是节点的直径
plt.show()  
In [39]:
import matplotlib.pyplot as plt
pos = nx.spring_layout(g_max)          
nx.draw(g_max,pos,with_labels=False,node_size = 20)  
plt.show()