Exemple #1
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 def cliques(self, threshold=3, distance=0):
     g = []
     c = cluster.cliques(self, threshold)
     for nodes in c: g.append(cluster.subgraph(self, nodes, distance))
     return g
Exemple #2
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 def __sub__(self, graph):
     nodes = cluster.difference(cluster.flatten(self), cluster.flatten(graph))
     all = self | graph
     return cluster.subgraph(all, nodes, 0)
Exemple #3
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 def clique(self, id, distance=0):
     return cluster.subgraph(self, cluster.clique(self, id), distance)
Exemple #4
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 def sub(self, id, distance=1):
     return cluster.subgraph(self, id, distance)
Exemple #5
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 def __and__(self, graph):
     nodes = cluster.intersection(cluster.flatten(self), cluster.flatten(graph))
     all = self | graph
     return cluster.subgraph(all, nodes, 0)
Exemple #6
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 def cliques(self, threshold=3, distance=0):
     g = []
     c = cluster.cliques(self, threshold)
     for nodes in c:
         g.append(cluster.subgraph(self, nodes, distance))
     return g
Exemple #7
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 def clique(self, id, distance=0):
     return cluster.subgraph(self, cluster.clique(self, id), distance)
Exemple #8
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 def __sub__(self, graph):
     nodes = cluster.difference(cluster.flatten(self),
                                cluster.flatten(graph))
     all = self | graph
     return cluster.subgraph(all, nodes, 0)
Exemple #9
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 def __and__(self, graph):
     nodes = cluster.intersection(cluster.flatten(self),
                                  cluster.flatten(graph))
     all = self | graph
     return cluster.subgraph(all, nodes, 0)
Exemple #10
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 def sub(self, id, distance=1):
     return cluster.subgraph(self, id, distance)