networkx.bipartite_configuration_model

bipartite_configuration_model(aseq, bseq, create_using=None, seed=None)

Return a random bipartite graph from two given degree sequences.

Parameters:

aseq : list or iterator

Degree sequence for node set A.

bseq : list or iterator

Degree sequence for node set B.

create_using : NetworkX graph instance, optional

Return graph of this type.

seed : integer, optional

Seed for random number generator.

Nodes from the set A are connected to nodes in the set B by :

choosing randomly from the possible free stubs, one in A and :

one in B. :

Notes

The sum of the two sequences must be equal: sum(aseq)=sum(bseq) If no graph type is specified use MultiGraph with parallel edges. If you want a graph with no parallel edges use create_using=Graph() but then the resulting degree sequences might not be exact.