GenRndGnm (SWIG)

GenRndGnm(GraphType, Nodes, Edges, IsDir=True, Rnd=TRnd)

Generates an Erdos-Renyi random graph of the specified GraphType.

Parameters:

• GraphType: graph class (input)

  Class of output graph – one of PNGraph, PNEANet, or PUNGraph.

• Nodes: int (input)

  Number of nodes in the generated graph.

• Edges: int (input)

  Number of edges in the genereated graph.

• IsDir: bool (input)

  Indicates whether to consider the edges as directed or undirected. Defaults to directed.

• Rnd: TRnd (input)

  Random number generator.

Return value:

• graph

  A Snap.py graph of the specified type.

The following example shows how to generate random graphs of types TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
for EI in Graph.Edges():
    print("edge: (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId()))

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
for EI in UGraph.Edges():
    print("edge: (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId()))

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
for EI in Network.Edges():
    print("edge: (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId()))