PlotClustCf (SWIG)ΒΆ

PlotClustCf(Graph, FNmPref, DescStr)

Plots the distribution of clustering coefficient of Graph. The function creates three new files: 1) ccf.<FNmPref>.plt (the commands used to create the plot), 2) ccf.<FNPref>.png (the plot), and 3) ccf.<FNmPref>.tab (the plotting data).

Parameters:

  • Graph: graph (input)

    A Snap.py graph or a network.

  • FNmPref: string (input)

    A string representing the preferred output file name.

  • DescStr: string (input)

    Description of the graph. The string should be non-empty.

Return value:

  • None

The following example shows how to plot the distribution of clustering coefficients for nodes in TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
snap.PlotClustCf(Graph, "example", "Directed graph - clustering coefficient")

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
snap.PlotClustCf(UGraph, "example", "Directed graph - clustering coefficient")

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
snap.PlotClustCf(Network, "example", "Directed graph - clustering coefficient")