GetAnfEffDiam (SWIG)ΒΆ

GetAnfEffDiam(Graph, NRuns=1, NApprox=- 1)

Returns a 90th percentile of the shortest path length distribution of a Graph (based on a NRuns runs of Approximate Neighborhood Function of approximation quality NApprox).

Parameters:

  • Graph: graph (input)

    A Snap.py graph or a network.

  • NRuns: int (input)

    Number of runs of the Approximate Neighborhood Function (ANF). Default value is 1.

  • NApprox: int (input)

    Number of approximations. Default value is -1.

Return value:

  • float

    the given 90th of the shortest path length distribution.

For more info see: http://www.cs.cmu.edu/~christos/PUBLICATIONS/kdd02-anf.pdf

The following example shows how to calculate the ANF Effective Diameter for a graph TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
snap.GetAnfEffDiam(Graph)

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
snap.GetAnfEffDiam(UGraph)

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
snap.GetAnfEffDiam(Network)