def radius(graph):
"""radius"""
return nx.radius(jaccard_similarity(ensure_connected(graph)))
def clique_sizes(graph):
"""clique_sizes"""
return list(clique.node_clique_number(ensure_connected(graph)).values())
def largest_connected_component(graph):
"""largest_connected_component"""
return jaccard_similarity(ensure_connected(graph)).number_of_nodes()
def diameter(graph):
"""diameter"""
return nx.diameter(jaccard_similarity(ensure_connected(graph)))
def katz_centrality(graph):
"""katz_centrality"""
return list(
centrality.katz_centrality_numpy(ensure_connected(graph)).values())
def min_node_cut_size(graph):
"""min_node_cut_size"""
return len(nx.minimum_node_cut(ensure_connected(graph)))
def eigenvector_centrality(graph):
"""eigenvector_centrality"""
return list(
centrality.eigenvector_centrality_numpy(
ensure_connected(graph)).values())
def center_size(graph):
"""center_size"""
return len(nx.center(ensure_connected(graph)))
def barycenter_size(graph):
"""barycenter_size"""
return len(nx.barycenter(ensure_connected(graph)))
def second_order_centrality(graph):
"""second_order_centrality"""
return list(
centrality.second_order_centrality(ensure_connected(graph)).values())
def extrema_bounding(graph):
"""extrema_bounding"""
return nx.extrema_bounding(ensure_connected(graph))
def eccentricity(graph):
"""eccentricity"""
return list(nx.eccentricity(ensure_connected(graph)).values())
def periphery(graph):
"""periphery"""
return len(nx.periphery(ensure_connected(graph)))
def hits(graph):
""""""
h, _ = nx.hits_numpy(ensure_connected(graph))
return list(h.values())
def weighted_eigenvector_centrality(graph):
"""weighted_eigenvector_centrality"""
return list(
centrality.eigenvector_centrality_numpy(ensure_connected(graph),
weight="weight").values())
def eval_asyn(graph, num_comms):
"""this evaluates the main function and cach it for speed up."""
return asyn_fluidc(ensure_connected(graph), int(num_comms))
def barycenter_size_weighted(graph):
"""barycenter_size_weighted"""
return len(nx.barycenter(ensure_connected(graph), weight="weight"))