GetDegSeqV

GetDegSeqV(Graph, InDegV, OutDegV)

Computes the in- and out- degree sequence vector for nodes in Graph. The degree sequence vectors are stored in InDegV and OutDegV, respectively.

Parameters:

• Graph: graph (input)

  A Snap.py graph or a network.

• InDegV: TIntV, a vector of ints (output)

  In-degree sequence vector.

• OutDegV: TIntV, a vector of ints (output)

  Out-degree sequence vector.

Return Value:

• None

The following examples shows how to compute the in- and out-degree sequence vectors for nodes in TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
result_in_degree = snap.TIntV()
result_out_degree = snap.TIntV()
snap.GetDegSeqV(Graph, result_in_degree, result_out_degree)
for i in range(0, result_in_degree.Len()):
  print "Node %s has in-degree %s and out-degree %s" % (i, result_in_degree[i], result_out_degree[i])

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
result_in_degree = snap.TIntV()
result_out_degree = snap.TIntV()
snap.GetDegSeqV(UGraph, result_in_degree, result_out_degree)
for i in range(0, result_in_degree.Len()):
  print "Node %s has in-degree %s and out-degree %s" % (i, result_in_degree[i], result_out_degree[i])

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
result_in_degree = snap.TIntV()
result_out_degree = snap.TIntV()
snap.GetDegSeqV(Network, result_in_degree, result_out_degree)
for i in range(0, result_in_degree.Len()):
  print "Node %s has in-degree %s and out-degree %s" % (i, result_in_degree[i], result_out_degree[i])