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Data Science analysis of the relationships in the novel Dune by Frank Herbert

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Dune-Character-Interactions

Data Science analysis of the relationships in the novel Dune by Frank Herbert

clusteringdownload

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.

Cluster assignments

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

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