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

nint: The number of nodes.
mint: The number of edges.
seedinteger, random_state, or None (default): Indicator of random number generation state. See Randomness.
directedbool, optional (default=False): If True return a directed graph