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