26 lines
1.1 KiB
Python
26 lines
1.1 KiB
Python
"""Functions for computing and measuring community structure.
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The functions in this class are not imported into the top-level
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:mod:`networkx` namespace. You can access these functions by importing
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the :mod:`networkx.algorithms.community` module, then accessing the
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functions as attributes of ``community``. For example::
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>>> import networkx as nx
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>>> from networkx.algorithms import community
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>>> G = nx.barbell_graph(5, 1)
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>>> communities_generator = community.girvan_newman(G)
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>>> top_level_communities = next(communities_generator)
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>>> next_level_communities = next(communities_generator)
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>>> sorted(map(sorted, next_level_communities))
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[[0, 1, 2, 3, 4], [5], [6, 7, 8, 9, 10]]
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"""
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from networkx.algorithms.community.asyn_fluid import *
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from networkx.algorithms.community.centrality import *
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from networkx.algorithms.community.kclique import *
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from networkx.algorithms.community.kernighan_lin import *
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from networkx.algorithms.community.label_propagation import *
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from networkx.algorithms.community.modularity_max import *
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from networkx.algorithms.community.quality import *
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from networkx.algorithms.community.community_utils import *
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