GetClustCf

GetClustCf(CCfByDeg=False, SampleNodes=- 1)

A graph method that computes the average clustering coefficient as defined in Watts and Strogatz, Collective dynamics of ‘small-world’ networks.

Parameters:

• (optional) CCfByDeg: bool

  If CCfByDeg is true, then return a vector of (degree, avg. clustering coefficient of nodes of that degree) pairs in addition to the clustering coefficient.

• (optional) SampleNodes: int

  If SampleNodes is -1 (default value), then compute the clustering coefficient over all the nodes. Otherwise, compute the clustering coefficient using only a random sample of SampleNodes nodes.

Return value:

• float

  The clustering coefficient.

• (optional) TFltPrV

  A vector of (degree, avg. clustering coefficient of nodes of that degree) pairs, returned when CCfByDeg is true.

For more info see: http://en.wikipedia.org/wiki/Clustering_coefficient.

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

import snap

Graph = snap.GenRndGnm(snap.TNGraph, 100, 1000)
GraphClustCoeff = Graph.GetClustCf(-1)
print("Clustering coefficient: %f" % GraphClustCoeff)
Cf, CfVec = Graph.GetClustCf(True, -1)
print("Average Clustering Coefficient: %f" % (Cf))
print("Coefficients by degree:\n")
for pair in CfVec:
    print("degree: %d, clustering coefficient: %f" % (pair.GetVal1(), pair.GetVal2()))

UGraph = snap.GenRndGnm(snap.TUNGraph, 100, 1000)
GraphClustCoeff = UGraph.GetClustCf(-1)
print("Clustering coefficient: %f" % GraphClustCoeff)
Cf, CfVec = UGraph.GetClustCf(True, -1)
print("Average Clustering Coefficient: %f" % (Cf))
print("Coefficients by degree:\n")
for pair in CfVec:
    print("degree: %d, clustering coefficient: %f" % (pair.GetVal1(), pair.GetVal2()))

Network = snap.GenRndGnm(snap.TNEANet, 100, 1000)
GraphClustCoeff = Network.GetClustCf(-1)
print("Clustering coefficient: %f" % GraphClustCoeff)
Cf, CfVec = Network.GetClustCf(True, -1)
print("Average Clustering Coefficient: %f" % (Cf))
print("Coefficients by degree:\n")
for pair in CfVec:
    print("degree: %d, clustering coefficient: %f" % (pair.GetVal1(), pair.GetVal2()))