networkx.generators.random_graphs.gnm_random_graph

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

Returns a \(G_{n,m}\) random graph.

In the \(G_{n,m}\) model, a graph is chosen uniformly at random from the set of all graphs with \(n\) nodes and \(m\) edges.

This algorithm should be faster than dense_gnm_random_graph() for sparse graphs.

Parameters

  • n (int) – The number of nodes.

  • m (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

See also

dense_gnm_random_graph()