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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.

  • 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