Data Science analysis of the relationships in the novel Dune by Frank Herbert
This is a first pass.
You could do some preprocessing and attempt to link the various titles to character names : Duke Leto Atreides, Baron Vladimir Harkonnen, etc.
However, I thought it would be interesting to take a first version where the clusters might suggest the context that formal titles were used as opposed to the more familiar names. Although I don't think even Feyd called the Baron 'Vlad'.
Another step would be to take out the organisations and analyse those separately from the people.
Name | cluster | |
---|---|---|
32 | Bene | 0 |
33 | Gesserit | 0 |
35 | Mother | 0 |
34 | Reverend | 0 |
1 | Alia | 1 |
29 | Baron | 1 |
20 | Bewt | 1 |
2 | Count | 1 |
27 | Duke | 1 |
10 | Duncan | 1 |
28 | Emperor | 1 |
23 | Fedaykin | 1 |
12 | Fenring | 1 |
62 | Gurney | 1 |
61 | Halleck | 1 |
0 | Harah | 1 |
26 | Hawat | 1 |
60 | Idaho | 1 |
11 | Jamis | 1 |
30 | Leto | 1 |
65 | Mapes | 1 |
8 | Nefud | 1 |
31 | Piter | 1 |
13 | Tuek | 1 |
57 | Arrakeen | 2 |
46 | Arrakis | 2 |
50 | Atreides | 2 |
53 | CHOAM | 2 |
54 | Caladan | 2 |
47 | Dune | 2 |
45 | Fremen | 2 |
49 | Guild | 2 |
51 | Harkonnen | 2 |
48 | Harkonnens | 2 |
42 | House | 2 |
44 | Houses | 2 |
58 | Imperial | 2 |
43 | Imperium | 2 |
56 | Landsraad | 2 |
52 | Salusa | 2 |
55 | Sardaukar | 2 |
41 | Shield | 2 |
40 | Wall | 2 |
38 | Dib | 3 |
37 | Irulan | 3 |
39 | Muad | 3 |
36 | Princess | 3 |
64 | Chani | 4 |
59 | Jessica | 4 |
63 | Kynes | 4 |
68 | Paul | 4 |
67 | Stilgar | 4 |
66 | Yueh | 4 |
17 | Feyd | 5 |
16 | Haderach | 5 |
15 | Kwisatz | 5 |
6 | Lady | 5 |
18 | Liet | 5 |
19 | Lisan | 5 |
24 | Lord | 5 |
14 | Majesty | 5 |
4 | Mentat | 5 |
21 | Padishah | 5 |
3 | Rabban | 5 |
25 | Sayyadina | 5 |
7 | Sire | 5 |
5 | Thufir | 5 |
22 | Truthsayer | 5 |
9 | Usul | 5 |