PlotHops

PlotHops(FNmPref, DescStr, IsDir=False, NApprox=32)

A graph method that plots the cumulative distribution of the shortest path lengths of a graph. The implementation is based on ANF (Approximate Neighborhood Function). The function creates three new files: 1) hop.<FNmPref>.plt (the commands used to create the plot), 2) hop.<FNPref>.png (the plot), and 3) hop.<FNmPref>.tab (the plotting data).

Parameters:

  • FNmPref: string

    A string representing the preferred output file name.

  • DescStr: string

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

  • IsDir: bool

    Whether the input graph is directed or not.

  • NApprox: int

    Number of ANF approximations, must be a multiple of eight. The larger this value is, the more accurate the distribution is.

Return value:

  • None

The following example shows how to plot the cumulative distribution of shortest path lengths for graphs of types TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.TNGraph, 100, 1000)
Graph.PlotHops("example", "Directed graph - hops", True, 1024)

UGraph = snap.GenRndGnm(snap.TUNGraph, 100, 1000)
UGraph.PlotHops("example", "Undirected graph - hops", False, 1024)

Network = snap.GenRndGnm(snap.TNEANet, 100, 1000)
Network.PlotHops("example", "Network - hops", True, 1024)