Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.9/dist-packages/networkx/generators/social.py: 3%

1"""

2Famous social networks.

3"""

4import networkx as nx

6__all__ = [

7 "karate_club_graph",

8 "davis_southern_women_graph",

9 "florentine_families_graph",

10 "les_miserables_graph",

11]

14@nx._dispatch(graphs=None)

15def karate_club_graph():

16 """Returns Zachary's Karate Club graph.

18 Each node in the returned graph has a node attribute 'club' that

19 indicates the name of the club to which the member represented by that node

20 belongs, either 'Mr. Hi' or 'Officer'. Each edge has a weight based on the

21 number of contexts in which that edge's incident node members interacted.

23 Examples

24 --------

25 To get the name of the club to which a node belongs::

27 >>> G = nx.karate_club_graph()

28 >>> G.nodes[5]["club"]

29 'Mr. Hi'

30 >>> G.nodes[9]["club"]

31 'Officer'

33 References

34 ----------

35 .. [1] Zachary, Wayne W.

36 "An Information Flow Model for Conflict and Fission in Small Groups."

37 *Journal of Anthropological Research*, 33, 452--473, (1977).

38 """

39 # Create the set of all members, and the members of each club.

40 all_members = set(range(34))

41 club1 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 16, 17, 19, 21}

42 # club2 = all_members - club1

44 G = nx.Graph()

45 G.add_nodes_from(all_members)

46 G.name = "Zachary's Karate Club"

48 zacharydat = """\

490 4 5 3 3 3 3 2 2 0 2 3 2 3 0 0 0 2 0 2 0 2 0 0 0 0 0 0 0 0 0 2 0 0

504 0 6 3 0 0 0 4 0 0 0 0 0 5 0 0 0 1 0 2 0 2 0 0 0 0 0 0 0 0 2 0 0 0

515 6 0 3 0 0 0 4 5 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 3 0

523 3 3 0 0 0 0 3 0 0 0 0 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

533 0 0 0 0 0 2 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

543 0 0 0 0 0 5 0 0 0 3 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

553 0 0 0 2 5 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

562 4 4 3 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

572 0 5 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 3 0 4 3

580 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 2

592 0 0 0 3 3 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

603 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

611 0 0 3 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

623 5 3 3 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 3

630 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 3 2

640 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 3 4

650 0 0 0 0 3 3 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

662 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

670 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 2

682 2 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

690 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 3 1

702 2 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

710 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 2 0

720 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 4 0 2 0 0 5 4

730 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 2 0 0

740 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 0 0 0 0 0 0 7 0 0

750 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 4 0 0 0 2

760 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 0 0 0 0 0 4

770 0 2 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 2 0 2

780 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 4 0 0 0 0 0 3 2

790 2 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3

802 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 7 0 0 2 0 0 0 4 4

810 0 2 0 0 0 0 0 3 0 0 0 0 0 3 3 0 0 1 0 3 0 2 5 0 0 0 0 0 4 3 4 0 5

820 0 0 0 0 0 0 0 4 2 0 0 0 3 2 4 0 0 2 1 1 0 3 4 0 0 2 4 2 2 3 4 5 0"""

84 for row, line in enumerate(zacharydat.split("\n")):

85 thisrow = [int(b) for b in line.split()]

86 for col, entry in enumerate(thisrow):

87 if entry >= 1:

88 G.add_edge(row, col, weight=entry)

90 # Add the name of each member's club as a node attribute.

91 for v in G:

92 G.nodes[v]["club"] = "Mr. Hi" if v in club1 else "Officer"

93 return G

96@nx._dispatch(graphs=None)

97def davis_southern_women_graph():

98 """Returns Davis Southern women social network.

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 ]

129 G.add_nodes_from(women, bipartite=0)

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 ]

147 G.add_nodes_from(events, bipartite=1)

148

149 G.add_edges_from(

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@nx._dispatch(graphs=None)

248def florentine_families_graph():

249 """Returns Florentine families graph.

250

251 References

252 ----------

253 .. [1] Ronald L. Breiger and Philippa E. Pattison

254 Cumulated social roles: The duality of persons and their algebras,1

255 Social Networks, Volume 8, Issue 3, September 1986, Pages 215-256

256 """

257 G = nx.Graph()

258 G.add_edge("Acciaiuoli", "Medici")

259 G.add_edge("Castellani", "Peruzzi")

260 G.add_edge("Castellani", "Strozzi")

261 G.add_edge("Castellani", "Barbadori")

262 G.add_edge("Medici", "Barbadori")

263 G.add_edge("Medici", "Ridolfi")

264 G.add_edge("Medici", "Tornabuoni")

265 G.add_edge("Medici", "Albizzi")

266 G.add_edge("Medici", "Salviati")

267 G.add_edge("Salviati", "Pazzi")

268 G.add_edge("Peruzzi", "Strozzi")

269 G.add_edge("Peruzzi", "Bischeri")

270 G.add_edge("Strozzi", "Ridolfi")

271 G.add_edge("Strozzi", "Bischeri")

272 G.add_edge("Ridolfi", "Tornabuoni")

273 G.add_edge("Tornabuoni", "Guadagni")

274 G.add_edge("Albizzi", "Ginori")

275 G.add_edge("Albizzi", "Guadagni")

276 G.add_edge("Bischeri", "Guadagni")

277 G.add_edge("Guadagni", "Lamberteschi")

278 return G

279

280

281@nx._dispatch(graphs=None)

282def les_miserables_graph():

283 """Returns coappearance network of characters in the novel Les Miserables.

284

285 References

286 ----------

287 .. [1] D. E. Knuth, 1993.

288 The Stanford GraphBase: a platform for combinatorial computing,

289 pp. 74-87. New York: AcM Press.

290 """

291 G = nx.Graph()

292 G.add_edge("Napoleon", "Myriel", weight=1)

293 G.add_edge("MlleBaptistine", "Myriel", weight=8)

294 G.add_edge("MmeMagloire", "Myriel", weight=10)

295 G.add_edge("MmeMagloire", "MlleBaptistine", weight=6)

296 G.add_edge("CountessDeLo", "Myriel", weight=1)

297 G.add_edge("Geborand", "Myriel", weight=1)

298 G.add_edge("Champtercier", "Myriel", weight=1)

299 G.add_edge("Cravatte", "Myriel", weight=1)

300 G.add_edge("Count", "Myriel", weight=2)

301 G.add_edge("OldMan", "Myriel", weight=1)

302 G.add_edge("Valjean", "Labarre", weight=1)

303 G.add_edge("Valjean", "MmeMagloire", weight=3)

304 G.add_edge("Valjean", "MlleBaptistine", weight=3)

305 G.add_edge("Valjean", "Myriel", weight=5)

306 G.add_edge("Marguerite", "Valjean", weight=1)

307 G.add_edge("MmeDeR", "Valjean", weight=1)

308 G.add_edge("Isabeau", "Valjean", weight=1)

309 G.add_edge("Gervais", "Valjean", weight=1)

310 G.add_edge("Listolier", "Tholomyes", weight=4)

311 G.add_edge("Fameuil", "Tholomyes", weight=4)

312 G.add_edge("Fameuil", "Listolier", weight=4)

313 G.add_edge("Blacheville", "Tholomyes", weight=4)

314 G.add_edge("Blacheville", "Listolier", weight=4)

315 G.add_edge("Blacheville", "Fameuil", weight=4)

316 G.add_edge("Favourite", "Tholomyes", weight=3)

317 G.add_edge("Favourite", "Listolier", weight=3)

318 G.add_edge("Favourite", "Fameuil", weight=3)

319 G.add_edge("Favourite", "Blacheville", weight=4)

320 G.add_edge("Dahlia", "Tholomyes", weight=3)

321 G.add_edge("Dahlia", "Listolier", weight=3)

322 G.add_edge("Dahlia", "Fameuil", weight=3)

323 G.add_edge("Dahlia", "Blacheville", weight=3)

324 G.add_edge("Dahlia", "Favourite", weight=5)

325 G.add_edge("Zephine", "Tholomyes", weight=3)

326 G.add_edge("Zephine", "Listolier", weight=3)

327 G.add_edge("Zephine", "Fameuil", weight=3)

328 G.add_edge("Zephine", "Blacheville", weight=3)

329 G.add_edge("Zephine", "Favourite", weight=4)

330 G.add_edge("Zephine", "Dahlia", weight=4)

331 G.add_edge("Fantine", "Tholomyes", weight=3)

332 G.add_edge("Fantine", "Listolier", weight=3)

333 G.add_edge("Fantine", "Fameuil", weight=3)

334 G.add_edge("Fantine", "Blacheville", weight=3)

335 G.add_edge("Fantine", "Favourite", weight=4)

336 G.add_edge("Fantine", "Dahlia", weight=4)

337 G.add_edge("Fantine", "Zephine", weight=4)

338 G.add_edge("Fantine", "Marguerite", weight=2)

339 G.add_edge("Fantine", "Valjean", weight=9)

340 G.add_edge("MmeThenardier", "Fantine", weight=2)

341 G.add_edge("MmeThenardier", "Valjean", weight=7)

342 G.add_edge("Thenardier", "MmeThenardier", weight=13)

343 G.add_edge("Thenardier", "Fantine", weight=1)

344 G.add_edge("Thenardier", "Valjean", weight=12)

345 G.add_edge("Cosette", "MmeThenardier", weight=4)

346 G.add_edge("Cosette", "Valjean", weight=31)

347 G.add_edge("Cosette", "Tholomyes", weight=1)

348 G.add_edge("Cosette", "Thenardier", weight=1)

349 G.add_edge("Javert", "Valjean", weight=17)

350 G.add_edge("Javert", "Fantine", weight=5)

351 G.add_edge("Javert", "Thenardier", weight=5)

352 G.add_edge("Javert", "MmeThenardier", weight=1)

353 G.add_edge("Javert", "Cosette", weight=1)

354 G.add_edge("Fauchelevent", "Valjean", weight=8)

355 G.add_edge("Fauchelevent", "Javert", weight=1)

356 G.add_edge("Bamatabois", "Fantine", weight=1)

357 G.add_edge("Bamatabois", "Javert", weight=1)

358 G.add_edge("Bamatabois", "Valjean", weight=2)

359 G.add_edge("Perpetue", "Fantine", weight=1)

360 G.add_edge("Simplice", "Perpetue", weight=2)

361 G.add_edge("Simplice", "Valjean", weight=3)

362 G.add_edge("Simplice", "Fantine", weight=2)

363 G.add_edge("Simplice", "Javert", weight=1)

364 G.add_edge("Scaufflaire", "Valjean", weight=1)

365 G.add_edge("Woman1", "Valjean", weight=2)

366 G.add_edge("Woman1", "Javert", weight=1)

367 G.add_edge("Judge", "Valjean", weight=3)

368 G.add_edge("Judge", "Bamatabois", weight=2)

369 G.add_edge("Champmathieu", "Valjean", weight=3)

370 G.add_edge("Champmathieu", "Judge", weight=3)

371 G.add_edge("Champmathieu", "Bamatabois", weight=2)

372 G.add_edge("Brevet", "Judge", weight=2)

373 G.add_edge("Brevet", "Champmathieu", weight=2)

374 G.add_edge("Brevet", "Valjean", weight=2)

375 G.add_edge("Brevet", "Bamatabois", weight=1)

376 G.add_edge("Chenildieu", "Judge", weight=2)

377 G.add_edge("Chenildieu", "Champmathieu", weight=2)

378 G.add_edge("Chenildieu", "Brevet", weight=2)

379 G.add_edge("Chenildieu", "Valjean", weight=2)

380 G.add_edge("Chenildieu", "Bamatabois", weight=1)

381 G.add_edge("Cochepaille", "Judge", weight=2)

382 G.add_edge("Cochepaille", "Champmathieu", weight=2)

383 G.add_edge("Cochepaille", "Brevet", weight=2)

384 G.add_edge("Cochepaille", "Chenildieu", weight=2)

385 G.add_edge("Cochepaille", "Valjean", weight=2)

386 G.add_edge("Cochepaille", "Bamatabois", weight=1)

387 G.add_edge("Pontmercy", "Thenardier", weight=1)

388 G.add_edge("Boulatruelle", "Thenardier", weight=1)

389 G.add_edge("Eponine", "MmeThenardier", weight=2)

390 G.add_edge("Eponine", "Thenardier", weight=3)

391 G.add_edge("Anzelma", "Eponine", weight=2)

392 G.add_edge("Anzelma", "Thenardier", weight=2)

393 G.add_edge("Anzelma", "MmeThenardier", weight=1)

394 G.add_edge("Woman2", "Valjean", weight=3)

395 G.add_edge("Woman2", "Cosette", weight=1)

396 G.add_edge("Woman2", "Javert", weight=1)

397 G.add_edge("MotherInnocent", "Fauchelevent", weight=3)

398 G.add_edge("MotherInnocent", "Valjean", weight=1)

399 G.add_edge("Gribier", "Fauchelevent", weight=2)

400 G.add_edge("MmeBurgon", "Jondrette", weight=1)

401 G.add_edge("Gavroche", "MmeBurgon", weight=2)

402 G.add_edge("Gavroche", "Thenardier", weight=1)

403 G.add_edge("Gavroche", "Javert", weight=1)

404 G.add_edge("Gavroche", "Valjean", weight=1)

405 G.add_edge("Gillenormand", "Cosette", weight=3)

406 G.add_edge("Gillenormand", "Valjean", weight=2)

407 G.add_edge("Magnon", "Gillenormand", weight=1)

408 G.add_edge("Magnon", "MmeThenardier", weight=1)

409 G.add_edge("MlleGillenormand", "Gillenormand", weight=9)

410 G.add_edge("MlleGillenormand", "Cosette", weight=2)

411 G.add_edge("MlleGillenormand", "Valjean", weight=2)

412 G.add_edge("MmePontmercy", "MlleGillenormand", weight=1)

413 G.add_edge("MmePontmercy", "Pontmercy", weight=1)

414 G.add_edge("MlleVaubois", "MlleGillenormand", weight=1)

415 G.add_edge("LtGillenormand", "MlleGillenormand", weight=2)

416 G.add_edge("LtGillenormand", "Gillenormand", weight=1)

417 G.add_edge("LtGillenormand", "Cosette", weight=1)

418 G.add_edge("Marius", "MlleGillenormand", weight=6)

419 G.add_edge("Marius", "Gillenormand", weight=12)

420 G.add_edge("Marius", "Pontmercy", weight=1)

421 G.add_edge("Marius", "LtGillenormand", weight=1)

422 G.add_edge("Marius", "Cosette", weight=21)

423 G.add_edge("Marius", "Valjean", weight=19)

424 G.add_edge("Marius", "Tholomyes", weight=1)

425 G.add_edge("Marius", "Thenardier", weight=2)

426 G.add_edge("Marius", "Eponine", weight=5)

427 G.add_edge("Marius", "Gavroche", weight=4)

428 G.add_edge("BaronessT", "Gillenormand", weight=1)

429 G.add_edge("BaronessT", "Marius", weight=1)

430 G.add_edge("Mabeuf", "Marius", weight=1)

431 G.add_edge("Mabeuf", "Eponine", weight=1)

432 G.add_edge("Mabeuf", "Gavroche", weight=1)

433 G.add_edge("Enjolras", "Marius", weight=7)

434 G.add_edge("Enjolras", "Gavroche", weight=7)

435 G.add_edge("Enjolras", "Javert", weight=6)

436 G.add_edge("Enjolras", "Mabeuf", weight=1)

437 G.add_edge("Enjolras", "Valjean", weight=4)

438 G.add_edge("Combeferre", "Enjolras", weight=15)

439 G.add_edge("Combeferre", "Marius", weight=5)

440 G.add_edge("Combeferre", "Gavroche", weight=6)

441 G.add_edge("Combeferre", "Mabeuf", weight=2)

442 G.add_edge("Prouvaire", "Gavroche", weight=1)

443 G.add_edge("Prouvaire", "Enjolras", weight=4)

444 G.add_edge("Prouvaire", "Combeferre", weight=2)

445 G.add_edge("Feuilly", "Gavroche", weight=2)

446 G.add_edge("Feuilly", "Enjolras", weight=6)

447 G.add_edge("Feuilly", "Prouvaire", weight=2)

448 G.add_edge("Feuilly", "Combeferre", weight=5)

449 G.add_edge("Feuilly", "Mabeuf", weight=1)

450 G.add_edge("Feuilly", "Marius", weight=1)

451 G.add_edge("Courfeyrac", "Marius", weight=9)

452 G.add_edge("Courfeyrac", "Enjolras", weight=17)

453 G.add_edge("Courfeyrac", "Combeferre", weight=13)

454 G.add_edge("Courfeyrac", "Gavroche", weight=7)

455 G.add_edge("Courfeyrac", "Mabeuf", weight=2)

456 G.add_edge("Courfeyrac", "Eponine", weight=1)

457 G.add_edge("Courfeyrac", "Feuilly", weight=6)

458 G.add_edge("Courfeyrac", "Prouvaire", weight=3)

459 G.add_edge("Bahorel", "Combeferre", weight=5)

460 G.add_edge("Bahorel", "Gavroche", weight=5)

461 G.add_edge("Bahorel", "Courfeyrac", weight=6)

462 G.add_edge("Bahorel", "Mabeuf", weight=2)

463 G.add_edge("Bahorel", "Enjolras", weight=4)

464 G.add_edge("Bahorel", "Feuilly", weight=3)

465 G.add_edge("Bahorel", "Prouvaire", weight=2)

466 G.add_edge("Bahorel", "Marius", weight=1)

467 G.add_edge("Bossuet", "Marius", weight=5)

468 G.add_edge("Bossuet", "Courfeyrac", weight=12)

469 G.add_edge("Bossuet", "Gavroche", weight=5)

470 G.add_edge("Bossuet", "Bahorel", weight=4)

471 G.add_edge("Bossuet", "Enjolras", weight=10)

472 G.add_edge("Bossuet", "Feuilly", weight=6)

473 G.add_edge("Bossuet", "Prouvaire", weight=2)

474 G.add_edge("Bossuet", "Combeferre", weight=9)

475 G.add_edge("Bossuet", "Mabeuf", weight=1)

476 G.add_edge("Bossuet", "Valjean", weight=1)

477 G.add_edge("Joly", "Bahorel", weight=5)

478 G.add_edge("Joly", "Bossuet", weight=7)

479 G.add_edge("Joly", "Gavroche", weight=3)

480 G.add_edge("Joly", "Courfeyrac", weight=5)

481 G.add_edge("Joly", "Enjolras", weight=5)

482 G.add_edge("Joly", "Feuilly", weight=5)

483 G.add_edge("Joly", "Prouvaire", weight=2)

484 G.add_edge("Joly", "Combeferre", weight=5)

485 G.add_edge("Joly", "Mabeuf", weight=1)

486 G.add_edge("Joly", "Marius", weight=2)

487 G.add_edge("Grantaire", "Bossuet", weight=3)

488 G.add_edge("Grantaire", "Enjolras", weight=3)

489 G.add_edge("Grantaire", "Combeferre", weight=1)

490 G.add_edge("Grantaire", "Courfeyrac", weight=2)

491 G.add_edge("Grantaire", "Joly", weight=2)

492 G.add_edge("Grantaire", "Gavroche", weight=1)

493 G.add_edge("Grantaire", "Bahorel", weight=1)

494 G.add_edge("Grantaire", "Feuilly", weight=1)

495 G.add_edge("Grantaire", "Prouvaire", weight=1)

496 G.add_edge("MotherPlutarch", "Mabeuf", weight=3)

497 G.add_edge("Gueulemer", "Thenardier", weight=5)

498 G.add_edge("Gueulemer", "Valjean", weight=1)

499 G.add_edge("Gueulemer", "MmeThenardier", weight=1)

500 G.add_edge("Gueulemer", "Javert", weight=1)

501 G.add_edge("Gueulemer", "Gavroche", weight=1)

502 G.add_edge("Gueulemer", "Eponine", weight=1)

503 G.add_edge("Babet", "Thenardier", weight=6)

504 G.add_edge("Babet", "Gueulemer", weight=6)

505 G.add_edge("Babet", "Valjean", weight=1)

506 G.add_edge("Babet", "MmeThenardier", weight=1)

507 G.add_edge("Babet", "Javert", weight=2)

508 G.add_edge("Babet", "Gavroche", weight=1)

509 G.add_edge("Babet", "Eponine", weight=1)

510 G.add_edge("Claquesous", "Thenardier", weight=4)

511 G.add_edge("Claquesous", "Babet", weight=4)

512 G.add_edge("Claquesous", "Gueulemer", weight=4)

513 G.add_edge("Claquesous", "Valjean", weight=1)

514 G.add_edge("Claquesous", "MmeThenardier", weight=1)

515 G.add_edge("Claquesous", "Javert", weight=1)

516 G.add_edge("Claquesous", "Eponine", weight=1)

517 G.add_edge("Claquesous", "Enjolras", weight=1)

518 G.add_edge("Montparnasse", "Javert", weight=1)

519 G.add_edge("Montparnasse", "Babet", weight=2)

520 G.add_edge("Montparnasse", "Gueulemer", weight=2)

521 G.add_edge("Montparnasse", "Claquesous", weight=2)

522 G.add_edge("Montparnasse", "Valjean", weight=1)

523 G.add_edge("Montparnasse", "Gavroche", weight=1)

524 G.add_edge("Montparnasse", "Eponine", weight=1)

525 G.add_edge("Montparnasse", "Thenardier", weight=1)

526 G.add_edge("Toussaint", "Cosette", weight=2)

527 G.add_edge("Toussaint", "Javert", weight=1)

528 G.add_edge("Toussaint", "Valjean", weight=1)

529 G.add_edge("Child1", "Gavroche", weight=2)

530 G.add_edge("Child2", "Gavroche", weight=2)

531 G.add_edge("Child2", "Child1", weight=3)

532 G.add_edge("Brujon", "Babet", weight=3)

533 G.add_edge("Brujon", "Gueulemer", weight=3)

534 G.add_edge("Brujon", "Thenardier", weight=3)

535 G.add_edge("Brujon", "Gavroche", weight=1)

536 G.add_edge("Brujon", "Eponine", weight=1)

537 G.add_edge("Brujon", "Claquesous", weight=1)

538 G.add_edge("Brujon", "Montparnasse", weight=1)

539 G.add_edge("MmeHucheloup", "Bossuet", weight=1)

540 G.add_edge("MmeHucheloup", "Joly", weight=1)

541 G.add_edge("MmeHucheloup", "Grantaire", weight=1)

542 G.add_edge("MmeHucheloup", "Bahorel", weight=1)

543 G.add_edge("MmeHucheloup", "Courfeyrac", weight=1)

544 G.add_edge("MmeHucheloup", "Gavroche", weight=1)

545 G.add_edge("MmeHucheloup", "Enjolras", weight=1)

546 return G