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"""Functions for computing and measuring community structure.
The ``community`` subpackage can be accessed by using :mod:`networkx.community`, then accessing the
functions as attributes of ``community``. For example::
>>> import networkx as nx
>>> G = nx.barbell_graph(5, 1)
>>> communities_generator = nx.community.girvan_newman(G)
>>> top_level_communities = next(communities_generator)
>>> next_level_communities = next(communities_generator)
>>> sorted(map(sorted, next_level_communities))
[[0, 1, 2, 3, 4], [5], [6, 7, 8, 9, 10]]
"""
from networkx.algorithms.community.asyn_fluid import *
from networkx.algorithms.community.centrality import *
from networkx.algorithms.community.divisive import *
from networkx.algorithms.community.kclique import *
from networkx.algorithms.community.kernighan_lin import *
from networkx.algorithms.community.label_propagation import *
from networkx.algorithms.community.lukes import *
from networkx.algorithms.community.modularity_max import *
from networkx.algorithms.community.quality import *
from networkx.algorithms.community.community_utils import *
from networkx.algorithms.community.louvain import *
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