def extract_articles(gid, graph, pz, weighting=None, length=3, **kwargs):
"""
: weight : scenario in ( '' , '' )
"""
if weighting is None:
weighting = ["1"]
wneighbors = _weights(weighting)
vs = pure_prox(graph, pz, length, wneighbors)
return vs
def expand_subgraph(graph, expand, nodes, length=4, cut=100, weightings=None):
pz = {}
uuids = {v['uuid']: v.index for v in graph.vs}
pz.update({uuids[p]: 1. / len(nodes) for p in nodes})
pz.update({uuids[p]: 1. for p in expand})
weightings = ["1"] if weightings in ([], None) else weightings
wneighbors = _weights(weightings)
vs = pure_prox(graph, pz, length, wneighbors)
vs = sortcut(vs, cut)
return vs
def extract(graph, pz, cut=50, weighting=None, length=3, **kwargs):
wneighbors = _weights(weighting)
vs = pure_prox(graph, pz, length, wneighbors)
vs = sortcut(vs, cut)
return vs