### comparison env/lib/python3.9/site-packages/networkx/generators/social.py @ 0:4f3585e2f14bdraftdefaulttip

author shellac Mon, 22 Mar 2021 18:12:50 +0000
comparison
equal inserted replaced
-1:000000000000 0:4f3585e2f14b
1 """
2 Famous social networks.
3 """
4 import networkx as nx
5
6 __all__ = [
7 "karate_club_graph",
8 "davis_southern_women_graph",
9 "florentine_families_graph",
10 "les_miserables_graph",
11 ]
12
13
14 def karate_club_graph():
15 """Returns Zachary's Karate Club graph.
16
17 Each node in the returned graph has a node attribute 'club' that
18 indicates the name of the club to which the member represented by that node
19 belongs, either 'Mr. Hi' or 'Officer'.
20
21 Examples
22 --------
23 To get the name of the club to which a node belongs::
24
25 >>> G = nx.karate_club_graph()
26 >>> G.nodes[5]["club"]
27 'Mr. Hi'
28 >>> G.nodes[9]["club"]
29 'Officer'
30
31 References
32 ----------
33 .. [1] Zachary, Wayne W.
34 "An Information Flow Model for Conflict and Fission in Small Groups."
35 *Journal of Anthropological Research*, 33, 452--473, (1977).
36
37 .. [2] Data file from:
39 """
40 # Create the set of all members, and the members of each club.
41 all_members = set(range(34))
42 club1 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 16, 17, 19, 21}
43 # club2 = all_members - club1
44
45 G = nx.Graph()
47 G.name = "Zachary's Karate Club"
48
49 zacharydat = """\
50 0 1 1 1 1 1 1 1 1 0 1 1 1 1 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0
51 1 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0
52 1 1 0 1 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0
53 1 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
54 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
55 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
56 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
57 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
58 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1
59 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
60 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
61 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
62 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
63 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
66 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
67 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
69 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
71 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 1 1
74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0
75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0
76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
77 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1
78 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 1
80 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
81 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 1
82 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 1 1 1 0 1
83 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 0"""
84
85 for row, line in enumerate(zacharydat.split("\n")):
86 thisrow = [int(b) for b in line.split()]
87 for col, entry in enumerate(thisrow):
88 if entry == 1:
90
91 # Add the name of each member's club as a node attribute.
92 for v in G:
93 G.nodes[v]["club"] = "Mr. Hi" if v in club1 else "Officer"
94 return G
95
96
97 def davis_southern_women_graph():
98 """Returns Davis Southern women social network.
99
100 This is a bipartite graph.
101
102 References
103 ----------
104 .. [1] A. Davis, Gardner, B. B., Gardner, M. R., 1941. Deep South.
105 University of Chicago Press, Chicago, IL.
106 """
107 G = nx.Graph()
108 # Top nodes
109 women = [
110 "Evelyn Jefferson",
111 "Laura Mandeville",
112 "Theresa Anderson",
113 "Brenda Rogers",
114 "Charlotte McDowd",
115 "Frances Anderson",
116 "Eleanor Nye",
117 "Pearl Oglethorpe",
118 "Ruth DeSand",
119 "Verne Sanderson",
120 "Myra Liddel",
121 "Katherina Rogers",
122 "Sylvia Avondale",
123 "Nora Fayette",
124 "Helen Lloyd",
125 "Dorothy Murchison",
126 "Olivia Carleton",
127 "Flora Price",
128 ]
130 # Bottom nodes
131 events = [
132 "E1",
133 "E2",
134 "E3",
135 "E4",
136 "E5",
137 "E6",
138 "E7",
139 "E8",
140 "E9",
141 "E10",
142 "E11",
143 "E12",
144 "E13",
145 "E14",
146 ]
148
150 [
151 ("Evelyn Jefferson", "E1"),
152 ("Evelyn Jefferson", "E2"),
153 ("Evelyn Jefferson", "E3"),
154 ("Evelyn Jefferson", "E4"),
155 ("Evelyn Jefferson", "E5"),
156 ("Evelyn Jefferson", "E6"),
157 ("Evelyn Jefferson", "E8"),
158 ("Evelyn Jefferson", "E9"),
159 ("Laura Mandeville", "E1"),
160 ("Laura Mandeville", "E2"),
161 ("Laura Mandeville", "E3"),
162 ("Laura Mandeville", "E5"),
163 ("Laura Mandeville", "E6"),
164 ("Laura Mandeville", "E7"),
165 ("Laura Mandeville", "E8"),
166 ("Theresa Anderson", "E2"),
167 ("Theresa Anderson", "E3"),
168 ("Theresa Anderson", "E4"),
169 ("Theresa Anderson", "E5"),
170 ("Theresa Anderson", "E6"),
171 ("Theresa Anderson", "E7"),
172 ("Theresa Anderson", "E8"),
173 ("Theresa Anderson", "E9"),
174 ("Brenda Rogers", "E1"),
175 ("Brenda Rogers", "E3"),
176 ("Brenda Rogers", "E4"),
177 ("Brenda Rogers", "E5"),
178 ("Brenda Rogers", "E6"),
179 ("Brenda Rogers", "E7"),
180 ("Brenda Rogers", "E8"),
181 ("Charlotte McDowd", "E3"),
182 ("Charlotte McDowd", "E4"),
183 ("Charlotte McDowd", "E5"),
184 ("Charlotte McDowd", "E7"),
185 ("Frances Anderson", "E3"),
186 ("Frances Anderson", "E5"),
187 ("Frances Anderson", "E6"),
188 ("Frances Anderson", "E8"),
189 ("Eleanor Nye", "E5"),
190 ("Eleanor Nye", "E6"),
191 ("Eleanor Nye", "E7"),
192 ("Eleanor Nye", "E8"),
193 ("Pearl Oglethorpe", "E6"),
194 ("Pearl Oglethorpe", "E8"),
195 ("Pearl Oglethorpe", "E9"),
196 ("Ruth DeSand", "E5"),
197 ("Ruth DeSand", "E7"),
198 ("Ruth DeSand", "E8"),
199 ("Ruth DeSand", "E9"),
200 ("Verne Sanderson", "E7"),
201 ("Verne Sanderson", "E8"),
202 ("Verne Sanderson", "E9"),
203 ("Verne Sanderson", "E12"),
204 ("Myra Liddel", "E8"),
205 ("Myra Liddel", "E9"),
206 ("Myra Liddel", "E10"),
207 ("Myra Liddel", "E12"),
208 ("Katherina Rogers", "E8"),
209 ("Katherina Rogers", "E9"),
210 ("Katherina Rogers", "E10"),
211 ("Katherina Rogers", "E12"),
212 ("Katherina Rogers", "E13"),
213 ("Katherina Rogers", "E14"),
214 ("Sylvia Avondale", "E7"),
215 ("Sylvia Avondale", "E8"),
216 ("Sylvia Avondale", "E9"),
217 ("Sylvia Avondale", "E10"),
218 ("Sylvia Avondale", "E12"),
219 ("Sylvia Avondale", "E13"),
220 ("Sylvia Avondale", "E14"),
221 ("Nora Fayette", "E6"),
222 ("Nora Fayette", "E7"),
223 ("Nora Fayette", "E9"),
224 ("Nora Fayette", "E10"),
225 ("Nora Fayette", "E11"),
226 ("Nora Fayette", "E12"),
227 ("Nora Fayette", "E13"),
228 ("Nora Fayette", "E14"),
229 ("Helen Lloyd", "E7"),
230 ("Helen Lloyd", "E8"),
231 ("Helen Lloyd", "E10"),
232 ("Helen Lloyd", "E11"),
233 ("Helen Lloyd", "E12"),
234 ("Dorothy Murchison", "E8"),
235 ("Dorothy Murchison", "E9"),
236 ("Olivia Carleton", "E9"),
237 ("Olivia Carleton", "E11"),
238 ("Flora Price", "E9"),
239 ("Flora Price", "E11"),
240 ]
241 )
242 G.graph["top"] = women
243 G.graph["bottom"] = events
244 return G
245
246
247 def florentine_families_graph():
248 """Returns Florentine families graph.
249
250 References
251 ----------
252 .. [1] Ronald L. Breiger and Philippa E. Pattison
253 Cumulated social roles: The duality of persons and their algebras,1
254 Social Networks, Volume 8, Issue 3, September 1986, Pages 215-256
255 """
256 G = nx.Graph()
277 return G
278
279
280 def les_miserables_graph():
281 """Returns coappearance network of characters in the novel Les Miserables.
282
283 References
284 ----------
285 .. [1] D. E. Knuth, 1993.
286 The Stanford GraphBase: a platform for combinatorial computing,
287 pp. 74-87. New York: AcM Press.
288 """
289 G = nx.Graph()
290 G.add_edge("Napoleon", "Myriel", weight=1)
291 G.add_edge("MlleBaptistine", "Myriel", weight=8)
292 G.add_edge("MmeMagloire", "Myriel", weight=10)
293 G.add_edge("MmeMagloire", "MlleBaptistine", weight=6)
294 G.add_edge("CountessDeLo", "Myriel", weight=1)
295 G.add_edge("Geborand", "Myriel", weight=1)
296 G.add_edge("Champtercier", "Myriel", weight=1)
297 G.add_edge("Cravatte", "Myriel", weight=1)
298 G.add_edge("Count", "Myriel", weight=2)
299 G.add_edge("OldMan", "Myriel", weight=1)
300 G.add_edge("Valjean", "Labarre", weight=1)
301 G.add_edge("Valjean", "MmeMagloire", weight=3)
302 G.add_edge("Valjean", "MlleBaptistine", weight=3)
303 G.add_edge("Valjean", "Myriel", weight=5)
304 G.add_edge("Marguerite", "Valjean", weight=1)
305 G.add_edge("MmeDeR", "Valjean", weight=1)
306 G.add_edge("Isabeau", "Valjean", weight=1)
307 G.add_edge("Gervais", "Valjean", weight=1)
308 G.add_edge("Listolier", "Tholomyes", weight=4)
309 G.add_edge("Fameuil", "Tholomyes", weight=4)
310 G.add_edge("Fameuil", "Listolier", weight=4)
311 G.add_edge("Blacheville", "Tholomyes", weight=4)
312 G.add_edge("Blacheville", "Listolier", weight=4)
313 G.add_edge("Blacheville", "Fameuil", weight=4)
314 G.add_edge("Favourite", "Tholomyes", weight=3)
315 G.add_edge("Favourite", "Listolier", weight=3)
316 G.add_edge("Favourite", "Fameuil", weight=3)
317 G.add_edge("Favourite", "Blacheville", weight=4)
318 G.add_edge("Dahlia", "Tholomyes", weight=3)
319 G.add_edge("Dahlia", "Listolier", weight=3)
320 G.add_edge("Dahlia", "Fameuil", weight=3)
321 G.add_edge("Dahlia", "Blacheville", weight=3)
322 G.add_edge("Dahlia", "Favourite", weight=5)
323 G.add_edge("Zephine", "Tholomyes", weight=3)
324 G.add_edge("Zephine", "Listolier", weight=3)
325 G.add_edge("Zephine", "Fameuil", weight=3)
326 G.add_edge("Zephine", "Blacheville", weight=3)
327 G.add_edge("Zephine", "Favourite", weight=4)
328 G.add_edge("Zephine", "Dahlia", weight=4)
329 G.add_edge("Fantine", "Tholomyes", weight=3)
330 G.add_edge("Fantine", "Listolier", weight=3)
331 G.add_edge("Fantine", "Fameuil", weight=3)
332 G.add_edge("Fantine", "Blacheville", weight=3)
333 G.add_edge("Fantine", "Favourite", weight=4)
334 G.add_edge("Fantine", "Dahlia", weight=4)
335 G.add_edge("Fantine", "Zephine", weight=4)
336 G.add_edge("Fantine", "Marguerite", weight=2)
337 G.add_edge("Fantine", "Valjean", weight=9)
338 G.add_edge("MmeThenardier", "Fantine", weight=2)
339 G.add_edge("MmeThenardier", "Valjean", weight=7)
340 G.add_edge("Thenardier", "MmeThenardier", weight=13)
341 G.add_edge("Thenardier", "Fantine", weight=1)
342 G.add_edge("Thenardier", "Valjean", weight=12)
343 G.add_edge("Cosette", "MmeThenardier", weight=4)
344 G.add_edge("Cosette", "Valjean", weight=31)
345 G.add_edge("Cosette", "Tholomyes", weight=1)
346 G.add_edge("Cosette", "Thenardier", weight=1)
347 G.add_edge("Javert", "Valjean", weight=17)
348 G.add_edge("Javert", "Fantine", weight=5)
349 G.add_edge("Javert", "Thenardier", weight=5)
350 G.add_edge("Javert", "MmeThenardier", weight=1)
351 G.add_edge("Javert", "Cosette", weight=1)
352 G.add_edge("Fauchelevent", "Valjean", weight=8)
353 G.add_edge("Fauchelevent", "Javert", weight=1)
354 G.add_edge("Bamatabois", "Fantine", weight=1)
355 G.add_edge("Bamatabois", "Javert", weight=1)
356 G.add_edge("Bamatabois", "Valjean", weight=2)
357 G.add_edge("Perpetue", "Fantine", weight=1)
358 G.add_edge("Simplice", "Perpetue", weight=2)
359 G.add_edge("Simplice", "Valjean", weight=3)
360 G.add_edge("Simplice", "Fantine", weight=2)
361 G.add_edge("Simplice", "Javert", weight=1)
362 G.add_edge("Scaufflaire", "Valjean", weight=1)
363 G.add_edge("Woman1", "Valjean", weight=2)
364 G.add_edge("Woman1", "Javert", weight=1)
365 G.add_edge("Judge", "Valjean", weight=3)
366 G.add_edge("Judge", "Bamatabois", weight=2)
367 G.add_edge("Champmathieu", "Valjean", weight=3)
368 G.add_edge("Champmathieu", "Judge", weight=3)
369 G.add_edge("Champmathieu", "Bamatabois", weight=2)
370 G.add_edge("Brevet", "Judge", weight=2)
371 G.add_edge("Brevet", "Champmathieu", weight=2)
372 G.add_edge("Brevet", "Valjean", weight=2)
373 G.add_edge("Brevet", "Bamatabois", weight=1)
374 G.add_edge("Chenildieu", "Judge", weight=2)
375 G.add_edge("Chenildieu", "Champmathieu", weight=2)
376 G.add_edge("Chenildieu", "Brevet", weight=2)
377 G.add_edge("Chenildieu", "Valjean", weight=2)
378 G.add_edge("Chenildieu", "Bamatabois", weight=1)
379 G.add_edge("Cochepaille", "Judge", weight=2)
380 G.add_edge("Cochepaille", "Champmathieu", weight=2)
381 G.add_edge("Cochepaille", "Brevet", weight=2)
382 G.add_edge("Cochepaille", "Chenildieu", weight=2)
383 G.add_edge("Cochepaille", "Valjean", weight=2)
384 G.add_edge("Cochepaille", "Bamatabois", weight=1)
385 G.add_edge("Pontmercy", "Thenardier", weight=1)
386 G.add_edge("Boulatruelle", "Thenardier", weight=1)
387 G.add_edge("Eponine", "MmeThenardier", weight=2)
388 G.add_edge("Eponine", "Thenardier", weight=3)
389 G.add_edge("Anzelma", "Eponine", weight=2)
390 G.add_edge("Anzelma", "Thenardier", weight=2)
391 G.add_edge("Anzelma", "MmeThenardier", weight=1)
392 G.add_edge("Woman2", "Valjean", weight=3)
393 G.add_edge("Woman2", "Cosette", weight=1)
394 G.add_edge("Woman2", "Javert", weight=1)
395 G.add_edge("MotherInnocent", "Fauchelevent", weight=3)
396 G.add_edge("MotherInnocent", "Valjean", weight=1)
397 G.add_edge("Gribier", "Fauchelevent", weight=2)
398 G.add_edge("MmeBurgon", "Jondrette", weight=1)
399 G.add_edge("Gavroche", "MmeBurgon", weight=2)
400 G.add_edge("Gavroche", "Thenardier", weight=1)
401 G.add_edge("Gavroche", "Javert", weight=1)
402 G.add_edge("Gavroche", "Valjean", weight=1)
403 G.add_edge("Gillenormand", "Cosette", weight=3)
404 G.add_edge("Gillenormand", "Valjean", weight=2)
405 G.add_edge("Magnon", "Gillenormand", weight=1)
406 G.add_edge("Magnon", "MmeThenardier", weight=1)
407 G.add_edge("MlleGillenormand", "Gillenormand", weight=9)
408 G.add_edge("MlleGillenormand", "Cosette", weight=2)
409 G.add_edge("MlleGillenormand", "Valjean", weight=2)
410 G.add_edge("MmePontmercy", "MlleGillenormand", weight=1)
411 G.add_edge("MmePontmercy", "Pontmercy", weight=1)
412 G.add_edge("MlleVaubois", "MlleGillenormand", weight=1)
413 G.add_edge("LtGillenormand", "MlleGillenormand", weight=2)
414 G.add_edge("LtGillenormand", "Gillenormand", weight=1)
415 G.add_edge("LtGillenormand", "Cosette", weight=1)
416 G.add_edge("Marius", "MlleGillenormand", weight=6)
417 G.add_edge("Marius", "Gillenormand", weight=12)
418 G.add_edge("Marius", "Pontmercy", weight=1)
419 G.add_edge("Marius", "LtGillenormand", weight=1)
420 G.add_edge("Marius", "Cosette", weight=21)
421 G.add_edge("Marius", "Valjean", weight=19)
422 G.add_edge("Marius", "Tholomyes", weight=1)
423 G.add_edge("Marius", "Thenardier", weight=2)
424 G.add_edge("Marius", "Eponine", weight=5)
425 G.add_edge("Marius", "Gavroche", weight=4)
426 G.add_edge("BaronessT", "Gillenormand", weight=1)
427 G.add_edge("BaronessT", "Marius", weight=1)
428 G.add_edge("Mabeuf", "Marius", weight=1)
429 G.add_edge("Mabeuf", "Eponine", weight=1)
430 G.add_edge("Mabeuf", "Gavroche", weight=1)
431 G.add_edge("Enjolras", "Marius", weight=7)
432 G.add_edge("Enjolras", "Gavroche", weight=7)
433 G.add_edge("Enjolras", "Javert", weight=6)
434 G.add_edge("Enjolras", "Mabeuf", weight=1)
435 G.add_edge("Enjolras", "Valjean", weight=4)
436 G.add_edge("Combeferre", "Enjolras", weight=15)
437 G.add_edge("Combeferre", "Marius", weight=5)
438 G.add_edge("Combeferre", "Gavroche", weight=6)
439 G.add_edge("Combeferre", "Mabeuf", weight=2)
440 G.add_edge("Prouvaire", "Gavroche", weight=1)
441 G.add_edge("Prouvaire", "Enjolras", weight=4)
442 G.add_edge("Prouvaire", "Combeferre", weight=2)
443 G.add_edge("Feuilly", "Gavroche", weight=2)
444 G.add_edge("Feuilly", "Enjolras", weight=6)
445 G.add_edge("Feuilly", "Prouvaire", weight=2)
446 G.add_edge("Feuilly", "Combeferre", weight=5)
447 G.add_edge("Feuilly", "Mabeuf", weight=1)
448 G.add_edge("Feuilly", "Marius", weight=1)
449 G.add_edge("Courfeyrac", "Marius", weight=9)
450 G.add_edge("Courfeyrac", "Enjolras", weight=17)
451 G.add_edge("Courfeyrac", "Combeferre", weight=13)
452 G.add_edge("Courfeyrac", "Gavroche", weight=7)
453 G.add_edge("Courfeyrac", "Mabeuf", weight=2)
454 G.add_edge("Courfeyrac", "Eponine", weight=1)
455 G.add_edge("Courfeyrac", "Feuilly", weight=6)
456 G.add_edge("Courfeyrac", "Prouvaire", weight=3)
457 G.add_edge("Bahorel", "Combeferre", weight=5)
458 G.add_edge("Bahorel", "Gavroche", weight=5)
459 G.add_edge("Bahorel", "Courfeyrac", weight=6)
460 G.add_edge("Bahorel", "Mabeuf", weight=2)
461 G.add_edge("Bahorel", "Enjolras", weight=4)
462 G.add_edge("Bahorel", "Feuilly", weight=3)
463 G.add_edge("Bahorel", "Prouvaire", weight=2)
464 G.add_edge("Bahorel", "Marius", weight=1)
465 G.add_edge("Bossuet", "Marius", weight=5)
466 G.add_edge("Bossuet", "Courfeyrac", weight=12)
467 G.add_edge("Bossuet", "Gavroche", weight=5)
468 G.add_edge("Bossuet", "Bahorel", weight=4)
469 G.add_edge("Bossuet", "Enjolras", weight=10)
470 G.add_edge("Bossuet", "Feuilly", weight=6)
471 G.add_edge("Bossuet", "Prouvaire", weight=2)
472 G.add_edge("Bossuet", "Combeferre", weight=9)
473 G.add_edge("Bossuet", "Mabeuf", weight=1)
474 G.add_edge("Bossuet", "Valjean", weight=1)
475 G.add_edge("Joly", "Bahorel", weight=5)
476 G.add_edge("Joly", "Bossuet", weight=7)
477 G.add_edge("Joly", "Gavroche", weight=3)
478 G.add_edge("Joly", "Courfeyrac", weight=5)
479 G.add_edge("Joly", "Enjolras", weight=5)
480 G.add_edge("Joly", "Feuilly", weight=5)
481 G.add_edge("Joly", "Prouvaire", weight=2)
482 G.add_edge("Joly", "Combeferre", weight=5)
483 G.add_edge("Joly", "Mabeuf", weight=1)
484 G.add_edge("Joly", "Marius", weight=2)
485 G.add_edge("Grantaire", "Bossuet", weight=3)
486 G.add_edge("Grantaire", "Enjolras", weight=3)
487 G.add_edge("Grantaire", "Combeferre", weight=1)
488 G.add_edge("Grantaire", "Courfeyrac", weight=2)
489 G.add_edge("Grantaire", "Joly", weight=2)
490 G.add_edge("Grantaire", "Gavroche", weight=1)
491 G.add_edge("Grantaire", "Bahorel", weight=1)
492 G.add_edge("Grantaire", "Feuilly", weight=1)
493 G.add_edge("Grantaire", "Prouvaire", weight=1)
494 G.add_edge("MotherPlutarch", "Mabeuf", weight=3)
495 G.add_edge("Gueulemer", "Thenardier", weight=5)
496 G.add_edge("Gueulemer", "Valjean", weight=1)
497 G.add_edge("Gueulemer", "MmeThenardier", weight=1)
498 G.add_edge("Gueulemer", "Javert", weight=1)
499 G.add_edge("Gueulemer", "Gavroche", weight=1)
500 G.add_edge("Gueulemer", "Eponine", weight=1)
501 G.add_edge("Babet", "Thenardier", weight=6)
502 G.add_edge("Babet", "Gueulemer", weight=6)
503 G.add_edge("Babet", "Valjean", weight=1)
504 G.add_edge("Babet", "MmeThenardier", weight=1)
505 G.add_edge("Babet", "Javert", weight=2)
506 G.add_edge("Babet", "Gavroche", weight=1)
507 G.add_edge("Babet", "Eponine", weight=1)
508 G.add_edge("Claquesous", "Thenardier", weight=4)
509 G.add_edge("Claquesous", "Babet", weight=4)
510 G.add_edge("Claquesous", "Gueulemer", weight=4)
511 G.add_edge("Claquesous", "Valjean", weight=1)
512 G.add_edge("Claquesous", "MmeThenardier", weight=1)
513 G.add_edge("Claquesous", "Javert", weight=1)
514 G.add_edge("Claquesous", "Eponine", weight=1)
515 G.add_edge("Claquesous", "Enjolras", weight=1)
516 G.add_edge("Montparnasse", "Javert", weight=1)
517 G.add_edge("Montparnasse", "Babet", weight=2)
518 G.add_edge("Montparnasse", "Gueulemer", weight=2)
519 G.add_edge("Montparnasse", "Claquesous", weight=2)
520 G.add_edge("Montparnasse", "Valjean", weight=1)
521 G.add_edge("Montparnasse", "Gavroche", weight=1)
522 G.add_edge("Montparnasse", "Eponine", weight=1)
523 G.add_edge("Montparnasse", "Thenardier", weight=1)
524 G.add_edge("Toussaint", "Cosette", weight=2)
525 G.add_edge("Toussaint", "Javert", weight=1)
526 G.add_edge("Toussaint", "Valjean", weight=1)
527 G.add_edge("Child1", "Gavroche", weight=2)
528 G.add_edge("Child2", "Gavroche", weight=2)
529 G.add_edge("Child2", "Child1", weight=3)
530 G.add_edge("Brujon", "Babet", weight=3)
531 G.add_edge("Brujon", "Gueulemer", weight=3)
532 G.add_edge("Brujon", "Thenardier", weight=3)
533 G.add_edge("Brujon", "Gavroche", weight=1)
534 G.add_edge("Brujon", "Eponine", weight=1)
535 G.add_edge("Brujon", "Claquesous", weight=1)
536 G.add_edge("Brujon", "Montparnasse", weight=1)
537 G.add_edge("MmeHucheloup", "Bossuet", weight=1)
538 G.add_edge("MmeHucheloup", "Joly", weight=1)
539 G.add_edge("MmeHucheloup", "Grantaire", weight=1)
540 G.add_edge("MmeHucheloup", "Bahorel", weight=1)
541 G.add_edge("MmeHucheloup", "Courfeyrac", weight=1)
542 G.add_edge("MmeHucheloup", "Gavroche", weight=1)
543 G.add_edge("MmeHucheloup", "Enjolras", weight=1)
544 return G