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- """
- Famous social networks.
- """
- import networkx as nx
- __all__ = [
- "karate_club_graph",
- "davis_southern_women_graph",
- "florentine_families_graph",
- "les_miserables_graph",
- ]
- def karate_club_graph():
- """Returns Zachary's Karate Club graph.
- Each node in the returned graph has a node attribute 'club' that
- indicates the name of the club to which the member represented by that node
- belongs, either 'Mr. Hi' or 'Officer'. Each edge has a weight based on the
- number of contexts in which that edge's incident node members interacted.
- Examples
- --------
- To get the name of the club to which a node belongs::
- >>> G = nx.karate_club_graph()
- >>> G.nodes[5]["club"]
- 'Mr. Hi'
- >>> G.nodes[9]["club"]
- 'Officer'
- References
- ----------
- .. [1] Zachary, Wayne W.
- "An Information Flow Model for Conflict and Fission in Small Groups."
- *Journal of Anthropological Research*, 33, 452--473, (1977).
- """
- # Create the set of all members, and the members of each club.
- all_members = set(range(34))
- club1 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 16, 17, 19, 21}
- # club2 = all_members - club1
- G = nx.Graph()
- G.add_nodes_from(all_members)
- G.name = "Zachary's Karate Club"
- zacharydat = """\
- 0 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
- 4 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
- 5 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
- 3 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
- 3 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
- 3 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
- 3 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
- 2 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
- 2 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
- 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 2
- 2 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
- 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 0 0 0
- 1 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
- 3 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
- 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 3 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 3 4
- 0 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
- 2 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 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
- 2 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
- 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 3 1
- 2 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
- 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 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 5 0 4 0 2 0 0 5 4
- 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 3 0 0 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 5 2 0 0 0 0 0 0 7 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 4 0 0 0 2
- 0 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
- 0 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
- 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 0 4 0 0 0 0 0 3 2
- 0 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
- 2 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
- 0 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
- 0 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"""
- for row, line in enumerate(zacharydat.split("\n")):
- thisrow = [int(b) for b in line.split()]
- for col, entry in enumerate(thisrow):
- if entry >= 1:
- G.add_edge(row, col, weight=entry)
- # Add the name of each member's club as a node attribute.
- for v in G:
- G.nodes[v]["club"] = "Mr. Hi" if v in club1 else "Officer"
- return G
- def davis_southern_women_graph():
- """Returns Davis Southern women social network.
- This is a bipartite graph.
- References
- ----------
- .. [1] A. Davis, Gardner, B. B., Gardner, M. R., 1941. Deep South.
- University of Chicago Press, Chicago, IL.
- """
- G = nx.Graph()
- # Top nodes
- women = [
- "Evelyn Jefferson",
- "Laura Mandeville",
- "Theresa Anderson",
- "Brenda Rogers",
- "Charlotte McDowd",
- "Frances Anderson",
- "Eleanor Nye",
- "Pearl Oglethorpe",
- "Ruth DeSand",
- "Verne Sanderson",
- "Myra Liddel",
- "Katherina Rogers",
- "Sylvia Avondale",
- "Nora Fayette",
- "Helen Lloyd",
- "Dorothy Murchison",
- "Olivia Carleton",
- "Flora Price",
- ]
- G.add_nodes_from(women, bipartite=0)
- # Bottom nodes
- events = [
- "E1",
- "E2",
- "E3",
- "E4",
- "E5",
- "E6",
- "E7",
- "E8",
- "E9",
- "E10",
- "E11",
- "E12",
- "E13",
- "E14",
- ]
- G.add_nodes_from(events, bipartite=1)
- G.add_edges_from(
- [
- ("Evelyn Jefferson", "E1"),
- ("Evelyn Jefferson", "E2"),
- ("Evelyn Jefferson", "E3"),
- ("Evelyn Jefferson", "E4"),
- ("Evelyn Jefferson", "E5"),
- ("Evelyn Jefferson", "E6"),
- ("Evelyn Jefferson", "E8"),
- ("Evelyn Jefferson", "E9"),
- ("Laura Mandeville", "E1"),
- ("Laura Mandeville", "E2"),
- ("Laura Mandeville", "E3"),
- ("Laura Mandeville", "E5"),
- ("Laura Mandeville", "E6"),
- ("Laura Mandeville", "E7"),
- ("Laura Mandeville", "E8"),
- ("Theresa Anderson", "E2"),
- ("Theresa Anderson", "E3"),
- ("Theresa Anderson", "E4"),
- ("Theresa Anderson", "E5"),
- ("Theresa Anderson", "E6"),
- ("Theresa Anderson", "E7"),
- ("Theresa Anderson", "E8"),
- ("Theresa Anderson", "E9"),
- ("Brenda Rogers", "E1"),
- ("Brenda Rogers", "E3"),
- ("Brenda Rogers", "E4"),
- ("Brenda Rogers", "E5"),
- ("Brenda Rogers", "E6"),
- ("Brenda Rogers", "E7"),
- ("Brenda Rogers", "E8"),
- ("Charlotte McDowd", "E3"),
- ("Charlotte McDowd", "E4"),
- ("Charlotte McDowd", "E5"),
- ("Charlotte McDowd", "E7"),
- ("Frances Anderson", "E3"),
- ("Frances Anderson", "E5"),
- ("Frances Anderson", "E6"),
- ("Frances Anderson", "E8"),
- ("Eleanor Nye", "E5"),
- ("Eleanor Nye", "E6"),
- ("Eleanor Nye", "E7"),
- ("Eleanor Nye", "E8"),
- ("Pearl Oglethorpe", "E6"),
- ("Pearl Oglethorpe", "E8"),
- ("Pearl Oglethorpe", "E9"),
- ("Ruth DeSand", "E5"),
- ("Ruth DeSand", "E7"),
- ("Ruth DeSand", "E8"),
- ("Ruth DeSand", "E9"),
- ("Verne Sanderson", "E7"),
- ("Verne Sanderson", "E8"),
- ("Verne Sanderson", "E9"),
- ("Verne Sanderson", "E12"),
- ("Myra Liddel", "E8"),
- ("Myra Liddel", "E9"),
- ("Myra Liddel", "E10"),
- ("Myra Liddel", "E12"),
- ("Katherina Rogers", "E8"),
- ("Katherina Rogers", "E9"),
- ("Katherina Rogers", "E10"),
- ("Katherina Rogers", "E12"),
- ("Katherina Rogers", "E13"),
- ("Katherina Rogers", "E14"),
- ("Sylvia Avondale", "E7"),
- ("Sylvia Avondale", "E8"),
- ("Sylvia Avondale", "E9"),
- ("Sylvia Avondale", "E10"),
- ("Sylvia Avondale", "E12"),
- ("Sylvia Avondale", "E13"),
- ("Sylvia Avondale", "E14"),
- ("Nora Fayette", "E6"),
- ("Nora Fayette", "E7"),
- ("Nora Fayette", "E9"),
- ("Nora Fayette", "E10"),
- ("Nora Fayette", "E11"),
- ("Nora Fayette", "E12"),
- ("Nora Fayette", "E13"),
- ("Nora Fayette", "E14"),
- ("Helen Lloyd", "E7"),
- ("Helen Lloyd", "E8"),
- ("Helen Lloyd", "E10"),
- ("Helen Lloyd", "E11"),
- ("Helen Lloyd", "E12"),
- ("Dorothy Murchison", "E8"),
- ("Dorothy Murchison", "E9"),
- ("Olivia Carleton", "E9"),
- ("Olivia Carleton", "E11"),
- ("Flora Price", "E9"),
- ("Flora Price", "E11"),
- ]
- )
- G.graph["top"] = women
- G.graph["bottom"] = events
- return G
- def florentine_families_graph():
- """Returns Florentine families graph.
- References
- ----------
- .. [1] Ronald L. Breiger and Philippa E. Pattison
- Cumulated social roles: The duality of persons and their algebras,1
- Social Networks, Volume 8, Issue 3, September 1986, Pages 215-256
- """
- G = nx.Graph()
- G.add_edge("Acciaiuoli", "Medici")
- G.add_edge("Castellani", "Peruzzi")
- G.add_edge("Castellani", "Strozzi")
- G.add_edge("Castellani", "Barbadori")
- G.add_edge("Medici", "Barbadori")
- G.add_edge("Medici", "Ridolfi")
- G.add_edge("Medici", "Tornabuoni")
- G.add_edge("Medici", "Albizzi")
- G.add_edge("Medici", "Salviati")
- G.add_edge("Salviati", "Pazzi")
- G.add_edge("Peruzzi", "Strozzi")
- G.add_edge("Peruzzi", "Bischeri")
- G.add_edge("Strozzi", "Ridolfi")
- G.add_edge("Strozzi", "Bischeri")
- G.add_edge("Ridolfi", "Tornabuoni")
- G.add_edge("Tornabuoni", "Guadagni")
- G.add_edge("Albizzi", "Ginori")
- G.add_edge("Albizzi", "Guadagni")
- G.add_edge("Bischeri", "Guadagni")
- G.add_edge("Guadagni", "Lamberteschi")
- return G
- def les_miserables_graph():
- """Returns coappearance network of characters in the novel Les Miserables.
- References
- ----------
- .. [1] D. E. Knuth, 1993.
- The Stanford GraphBase: a platform for combinatorial computing,
- pp. 74-87. New York: AcM Press.
- """
- G = nx.Graph()
- G.add_edge("Napoleon", "Myriel", weight=1)
- G.add_edge("MlleBaptistine", "Myriel", weight=8)
- G.add_edge("MmeMagloire", "Myriel", weight=10)
- G.add_edge("MmeMagloire", "MlleBaptistine", weight=6)
- G.add_edge("CountessDeLo", "Myriel", weight=1)
- G.add_edge("Geborand", "Myriel", weight=1)
- G.add_edge("Champtercier", "Myriel", weight=1)
- G.add_edge("Cravatte", "Myriel", weight=1)
- G.add_edge("Count", "Myriel", weight=2)
- G.add_edge("OldMan", "Myriel", weight=1)
- G.add_edge("Valjean", "Labarre", weight=1)
- G.add_edge("Valjean", "MmeMagloire", weight=3)
- G.add_edge("Valjean", "MlleBaptistine", weight=3)
- G.add_edge("Valjean", "Myriel", weight=5)
- G.add_edge("Marguerite", "Valjean", weight=1)
- G.add_edge("MmeDeR", "Valjean", weight=1)
- G.add_edge("Isabeau", "Valjean", weight=1)
- G.add_edge("Gervais", "Valjean", weight=1)
- G.add_edge("Listolier", "Tholomyes", weight=4)
- G.add_edge("Fameuil", "Tholomyes", weight=4)
- G.add_edge("Fameuil", "Listolier", weight=4)
- G.add_edge("Blacheville", "Tholomyes", weight=4)
- G.add_edge("Blacheville", "Listolier", weight=4)
- G.add_edge("Blacheville", "Fameuil", weight=4)
- G.add_edge("Favourite", "Tholomyes", weight=3)
- G.add_edge("Favourite", "Listolier", weight=3)
- G.add_edge("Favourite", "Fameuil", weight=3)
- G.add_edge("Favourite", "Blacheville", weight=4)
- G.add_edge("Dahlia", "Tholomyes", weight=3)
- G.add_edge("Dahlia", "Listolier", weight=3)
- G.add_edge("Dahlia", "Fameuil", weight=3)
- G.add_edge("Dahlia", "Blacheville", weight=3)
- G.add_edge("Dahlia", "Favourite", weight=5)
- G.add_edge("Zephine", "Tholomyes", weight=3)
- G.add_edge("Zephine", "Listolier", weight=3)
- G.add_edge("Zephine", "Fameuil", weight=3)
- G.add_edge("Zephine", "Blacheville", weight=3)
- G.add_edge("Zephine", "Favourite", weight=4)
- G.add_edge("Zephine", "Dahlia", weight=4)
- G.add_edge("Fantine", "Tholomyes", weight=3)
- G.add_edge("Fantine", "Listolier", weight=3)
- G.add_edge("Fantine", "Fameuil", weight=3)
- G.add_edge("Fantine", "Blacheville", weight=3)
- G.add_edge("Fantine", "Favourite", weight=4)
- G.add_edge("Fantine", "Dahlia", weight=4)
- G.add_edge("Fantine", "Zephine", weight=4)
- G.add_edge("Fantine", "Marguerite", weight=2)
- G.add_edge("Fantine", "Valjean", weight=9)
- G.add_edge("MmeThenardier", "Fantine", weight=2)
- G.add_edge("MmeThenardier", "Valjean", weight=7)
- G.add_edge("Thenardier", "MmeThenardier", weight=13)
- G.add_edge("Thenardier", "Fantine", weight=1)
- G.add_edge("Thenardier", "Valjean", weight=12)
- G.add_edge("Cosette", "MmeThenardier", weight=4)
- G.add_edge("Cosette", "Valjean", weight=31)
- G.add_edge("Cosette", "Tholomyes", weight=1)
- G.add_edge("Cosette", "Thenardier", weight=1)
- G.add_edge("Javert", "Valjean", weight=17)
- G.add_edge("Javert", "Fantine", weight=5)
- G.add_edge("Javert", "Thenardier", weight=5)
- G.add_edge("Javert", "MmeThenardier", weight=1)
- G.add_edge("Javert", "Cosette", weight=1)
- G.add_edge("Fauchelevent", "Valjean", weight=8)
- G.add_edge("Fauchelevent", "Javert", weight=1)
- G.add_edge("Bamatabois", "Fantine", weight=1)
- G.add_edge("Bamatabois", "Javert", weight=1)
- G.add_edge("Bamatabois", "Valjean", weight=2)
- G.add_edge("Perpetue", "Fantine", weight=1)
- G.add_edge("Simplice", "Perpetue", weight=2)
- G.add_edge("Simplice", "Valjean", weight=3)
- G.add_edge("Simplice", "Fantine", weight=2)
- G.add_edge("Simplice", "Javert", weight=1)
- G.add_edge("Scaufflaire", "Valjean", weight=1)
- G.add_edge("Woman1", "Valjean", weight=2)
- G.add_edge("Woman1", "Javert", weight=1)
- G.add_edge("Judge", "Valjean", weight=3)
- G.add_edge("Judge", "Bamatabois", weight=2)
- G.add_edge("Champmathieu", "Valjean", weight=3)
- G.add_edge("Champmathieu", "Judge", weight=3)
- G.add_edge("Champmathieu", "Bamatabois", weight=2)
- G.add_edge("Brevet", "Judge", weight=2)
- G.add_edge("Brevet", "Champmathieu", weight=2)
- G.add_edge("Brevet", "Valjean", weight=2)
- G.add_edge("Brevet", "Bamatabois", weight=1)
- G.add_edge("Chenildieu", "Judge", weight=2)
- G.add_edge("Chenildieu", "Champmathieu", weight=2)
- G.add_edge("Chenildieu", "Brevet", weight=2)
- G.add_edge("Chenildieu", "Valjean", weight=2)
- G.add_edge("Chenildieu", "Bamatabois", weight=1)
- G.add_edge("Cochepaille", "Judge", weight=2)
- G.add_edge("Cochepaille", "Champmathieu", weight=2)
- G.add_edge("Cochepaille", "Brevet", weight=2)
- G.add_edge("Cochepaille", "Chenildieu", weight=2)
- G.add_edge("Cochepaille", "Valjean", weight=2)
- G.add_edge("Cochepaille", "Bamatabois", weight=1)
- G.add_edge("Pontmercy", "Thenardier", weight=1)
- G.add_edge("Boulatruelle", "Thenardier", weight=1)
- G.add_edge("Eponine", "MmeThenardier", weight=2)
- G.add_edge("Eponine", "Thenardier", weight=3)
- G.add_edge("Anzelma", "Eponine", weight=2)
- G.add_edge("Anzelma", "Thenardier", weight=2)
- G.add_edge("Anzelma", "MmeThenardier", weight=1)
- G.add_edge("Woman2", "Valjean", weight=3)
- G.add_edge("Woman2", "Cosette", weight=1)
- G.add_edge("Woman2", "Javert", weight=1)
- G.add_edge("MotherInnocent", "Fauchelevent", weight=3)
- G.add_edge("MotherInnocent", "Valjean", weight=1)
- G.add_edge("Gribier", "Fauchelevent", weight=2)
- G.add_edge("MmeBurgon", "Jondrette", weight=1)
- G.add_edge("Gavroche", "MmeBurgon", weight=2)
- G.add_edge("Gavroche", "Thenardier", weight=1)
- G.add_edge("Gavroche", "Javert", weight=1)
- G.add_edge("Gavroche", "Valjean", weight=1)
- G.add_edge("Gillenormand", "Cosette", weight=3)
- G.add_edge("Gillenormand", "Valjean", weight=2)
- G.add_edge("Magnon", "Gillenormand", weight=1)
- G.add_edge("Magnon", "MmeThenardier", weight=1)
- G.add_edge("MlleGillenormand", "Gillenormand", weight=9)
- G.add_edge("MlleGillenormand", "Cosette", weight=2)
- G.add_edge("MlleGillenormand", "Valjean", weight=2)
- G.add_edge("MmePontmercy", "MlleGillenormand", weight=1)
- G.add_edge("MmePontmercy", "Pontmercy", weight=1)
- G.add_edge("MlleVaubois", "MlleGillenormand", weight=1)
- G.add_edge("LtGillenormand", "MlleGillenormand", weight=2)
- G.add_edge("LtGillenormand", "Gillenormand", weight=1)
- G.add_edge("LtGillenormand", "Cosette", weight=1)
- G.add_edge("Marius", "MlleGillenormand", weight=6)
- G.add_edge("Marius", "Gillenormand", weight=12)
- G.add_edge("Marius", "Pontmercy", weight=1)
- G.add_edge("Marius", "LtGillenormand", weight=1)
- G.add_edge("Marius", "Cosette", weight=21)
- G.add_edge("Marius", "Valjean", weight=19)
- G.add_edge("Marius", "Tholomyes", weight=1)
- G.add_edge("Marius", "Thenardier", weight=2)
- G.add_edge("Marius", "Eponine", weight=5)
- G.add_edge("Marius", "Gavroche", weight=4)
- G.add_edge("BaronessT", "Gillenormand", weight=1)
- G.add_edge("BaronessT", "Marius", weight=1)
- G.add_edge("Mabeuf", "Marius", weight=1)
- G.add_edge("Mabeuf", "Eponine", weight=1)
- G.add_edge("Mabeuf", "Gavroche", weight=1)
- G.add_edge("Enjolras", "Marius", weight=7)
- G.add_edge("Enjolras", "Gavroche", weight=7)
- G.add_edge("Enjolras", "Javert", weight=6)
- G.add_edge("Enjolras", "Mabeuf", weight=1)
- G.add_edge("Enjolras", "Valjean", weight=4)
- G.add_edge("Combeferre", "Enjolras", weight=15)
- G.add_edge("Combeferre", "Marius", weight=5)
- G.add_edge("Combeferre", "Gavroche", weight=6)
- G.add_edge("Combeferre", "Mabeuf", weight=2)
- G.add_edge("Prouvaire", "Gavroche", weight=1)
- G.add_edge("Prouvaire", "Enjolras", weight=4)
- G.add_edge("Prouvaire", "Combeferre", weight=2)
- G.add_edge("Feuilly", "Gavroche", weight=2)
- G.add_edge("Feuilly", "Enjolras", weight=6)
- G.add_edge("Feuilly", "Prouvaire", weight=2)
- G.add_edge("Feuilly", "Combeferre", weight=5)
- G.add_edge("Feuilly", "Mabeuf", weight=1)
- G.add_edge("Feuilly", "Marius", weight=1)
- G.add_edge("Courfeyrac", "Marius", weight=9)
- G.add_edge("Courfeyrac", "Enjolras", weight=17)
- G.add_edge("Courfeyrac", "Combeferre", weight=13)
- G.add_edge("Courfeyrac", "Gavroche", weight=7)
- G.add_edge("Courfeyrac", "Mabeuf", weight=2)
- G.add_edge("Courfeyrac", "Eponine", weight=1)
- G.add_edge("Courfeyrac", "Feuilly", weight=6)
- G.add_edge("Courfeyrac", "Prouvaire", weight=3)
- G.add_edge("Bahorel", "Combeferre", weight=5)
- G.add_edge("Bahorel", "Gavroche", weight=5)
- G.add_edge("Bahorel", "Courfeyrac", weight=6)
- G.add_edge("Bahorel", "Mabeuf", weight=2)
- G.add_edge("Bahorel", "Enjolras", weight=4)
- G.add_edge("Bahorel", "Feuilly", weight=3)
- G.add_edge("Bahorel", "Prouvaire", weight=2)
- G.add_edge("Bahorel", "Marius", weight=1)
- G.add_edge("Bossuet", "Marius", weight=5)
- G.add_edge("Bossuet", "Courfeyrac", weight=12)
- G.add_edge("Bossuet", "Gavroche", weight=5)
- G.add_edge("Bossuet", "Bahorel", weight=4)
- G.add_edge("Bossuet", "Enjolras", weight=10)
- G.add_edge("Bossuet", "Feuilly", weight=6)
- G.add_edge("Bossuet", "Prouvaire", weight=2)
- G.add_edge("Bossuet", "Combeferre", weight=9)
- G.add_edge("Bossuet", "Mabeuf", weight=1)
- G.add_edge("Bossuet", "Valjean", weight=1)
- G.add_edge("Joly", "Bahorel", weight=5)
- G.add_edge("Joly", "Bossuet", weight=7)
- G.add_edge("Joly", "Gavroche", weight=3)
- G.add_edge("Joly", "Courfeyrac", weight=5)
- G.add_edge("Joly", "Enjolras", weight=5)
- G.add_edge("Joly", "Feuilly", weight=5)
- G.add_edge("Joly", "Prouvaire", weight=2)
- G.add_edge("Joly", "Combeferre", weight=5)
- G.add_edge("Joly", "Mabeuf", weight=1)
- G.add_edge("Joly", "Marius", weight=2)
- G.add_edge("Grantaire", "Bossuet", weight=3)
- G.add_edge("Grantaire", "Enjolras", weight=3)
- G.add_edge("Grantaire", "Combeferre", weight=1)
- G.add_edge("Grantaire", "Courfeyrac", weight=2)
- G.add_edge("Grantaire", "Joly", weight=2)
- G.add_edge("Grantaire", "Gavroche", weight=1)
- G.add_edge("Grantaire", "Bahorel", weight=1)
- G.add_edge("Grantaire", "Feuilly", weight=1)
- G.add_edge("Grantaire", "Prouvaire", weight=1)
- G.add_edge("MotherPlutarch", "Mabeuf", weight=3)
- G.add_edge("Gueulemer", "Thenardier", weight=5)
- G.add_edge("Gueulemer", "Valjean", weight=1)
- G.add_edge("Gueulemer", "MmeThenardier", weight=1)
- G.add_edge("Gueulemer", "Javert", weight=1)
- G.add_edge("Gueulemer", "Gavroche", weight=1)
- G.add_edge("Gueulemer", "Eponine", weight=1)
- G.add_edge("Babet", "Thenardier", weight=6)
- G.add_edge("Babet", "Gueulemer", weight=6)
- G.add_edge("Babet", "Valjean", weight=1)
- G.add_edge("Babet", "MmeThenardier", weight=1)
- G.add_edge("Babet", "Javert", weight=2)
- G.add_edge("Babet", "Gavroche", weight=1)
- G.add_edge("Babet", "Eponine", weight=1)
- G.add_edge("Claquesous", "Thenardier", weight=4)
- G.add_edge("Claquesous", "Babet", weight=4)
- G.add_edge("Claquesous", "Gueulemer", weight=4)
- G.add_edge("Claquesous", "Valjean", weight=1)
- G.add_edge("Claquesous", "MmeThenardier", weight=1)
- G.add_edge("Claquesous", "Javert", weight=1)
- G.add_edge("Claquesous", "Eponine", weight=1)
- G.add_edge("Claquesous", "Enjolras", weight=1)
- G.add_edge("Montparnasse", "Javert", weight=1)
- G.add_edge("Montparnasse", "Babet", weight=2)
- G.add_edge("Montparnasse", "Gueulemer", weight=2)
- G.add_edge("Montparnasse", "Claquesous", weight=2)
- G.add_edge("Montparnasse", "Valjean", weight=1)
- G.add_edge("Montparnasse", "Gavroche", weight=1)
- G.add_edge("Montparnasse", "Eponine", weight=1)
- G.add_edge("Montparnasse", "Thenardier", weight=1)
- G.add_edge("Toussaint", "Cosette", weight=2)
- G.add_edge("Toussaint", "Javert", weight=1)
- G.add_edge("Toussaint", "Valjean", weight=1)
- G.add_edge("Child1", "Gavroche", weight=2)
- G.add_edge("Child2", "Gavroche", weight=2)
- G.add_edge("Child2", "Child1", weight=3)
- G.add_edge("Brujon", "Babet", weight=3)
- G.add_edge("Brujon", "Gueulemer", weight=3)
- G.add_edge("Brujon", "Thenardier", weight=3)
- G.add_edge("Brujon", "Gavroche", weight=1)
- G.add_edge("Brujon", "Eponine", weight=1)
- G.add_edge("Brujon", "Claquesous", weight=1)
- G.add_edge("Brujon", "Montparnasse", weight=1)
- G.add_edge("MmeHucheloup", "Bossuet", weight=1)
- G.add_edge("MmeHucheloup", "Joly", weight=1)
- G.add_edge("MmeHucheloup", "Grantaire", weight=1)
- G.add_edge("MmeHucheloup", "Bahorel", weight=1)
- G.add_edge("MmeHucheloup", "Courfeyrac", weight=1)
- G.add_edge("MmeHucheloup", "Gavroche", weight=1)
- G.add_edge("MmeHucheloup", "Enjolras", weight=1)
- return G
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