# networkx.algorithms.bipartite.generators.gnmk_random_graph¶

gnmk_random_graph(n, m, k, seed=None, directed=False)[source]

Returns a random bipartite graph G_{n,m,k}.

Produces a bipartite graph chosen randomly out of the set of all graphs with n top nodes, m bottom nodes, and k edges. The graph is composed of two sets of nodes. Set A has nodes 0 to (n - 1) and set B has nodes n to (n + m - 1).

Parameters
• n (int) – The number of nodes in the first bipartite set.

• m (int) – The number of nodes in the second bipartite set.

• k (int) – The number of edges

• seed (integer, random_state, or None (default)) – Indicator of random number generation state. See Randomness.

• directed (bool, optional (default=False)) – If True return a directed graph

Examples

from nx.algorithms import bipartite G = bipartite.gnmk_random_graph(10,20,50)

gnm_random_graph()
This graph is a bipartite version of the G_{nm} random graph model.