def closeness_centrality(G, u=None, distance=None, wf_improved=True):
@context_to_dict
@project_to_simple
def _closeness_centrality(G, weight=None, wf_improved=True):
return AppAssets(algo="closeness_centrality",
context="vertex_data")(G, wf_improved)
if u is not None:
# forward
return nxa.closeness_centrality(G, u, distance, wf_improved)
return _closeness_centrality(G, weight=distance, wf_improved=wf_improved)
def closeness_sum(self,h1,h2):
G = self._graph
c_h1 = nxa.closeness_centrality(G,h1)
c_h2 = nxa.closeness_centrality(G,h2)
return c_h1 + c_h2
def closeness_difference(self,h1,h2):
G = self._graph
c_h1 = nxa.closeness_centrality(G,h1)
c_h2 = nxa.closeness_centrality(G,h2)
return abs(c_h1 - c_h2)
def getClosenessCentrality(self, G):
return nalgos.closeness_centrality(G)
def closeness_sum(self, h1, h2):
G = self._graph
c_h1 = nxa.closeness_centrality(G, h1)
c_h2 = nxa.closeness_centrality(G, h2)
return c_h1 + c_h2
def closeness_difference(self, h1, h2):
G = self._graph
c_h1 = nxa.closeness_centrality(G, h1)
c_h2 = nxa.closeness_centrality(G, h2)
return abs(c_h1 - c_h2)
