GenRndGnm¶
- 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())