GetNodeClustCf (SWIG)

GetNodeClustCf(Graph, NIdCCfH)

Computes clustering coefficient of each node in Graph. Considers the graph as undirected.

Parameters:

• Graph: graph (input)

  A Snap.py graph or a network.

• NIdCCfH: TIntFltH, a hash table of int keys and float values (output)

  Clustering Coefficients. Keys are node IDs, values are the node’s computed clustering coefficients.

Return value:

• None

The following example shows how to calculate the clustering coefficient for nodes in TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
NIdCCfH = snap.TIntFltH()
snap.GetNodeClustCf(Graph, NIdCCfH)
for item in NIdCCfH:
    print(item, NIdCCfH[item])

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
NIdCCfH = snap.TIntFltH()
snap.GetNodeClustCf(UGraph, NIdCCfH)
for item in NIdCCfH:
    print(item, NIdCCfH[item])

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
NIdCCfH = snap.TIntFltH()
snap.GetNodeClustCf(Network, NIdCCfH)
for item in NIdCCfH:
    print(item, NIdCCfH[item])