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networkx.generators.random_graphs.gnp_random_graph

gnp_random_graph(n, p, seed=None, directed=False)

Returns a \(G_{n,p}\) random graph, also known as an Erdős-Rényi graph or a binomial graph.

The \(G_{n,p}\) model chooses each of the possible edges with probability \(p\).

The functions binomial_graph() and erdos_renyi_graph() are aliases of this function.

Parameters:

• n (int) – The number of nodes.
• p (float) – Probability for edge creation.
• seed (int, optional) – Seed for random number generator (default=None).
• directed (bool, optional (default=False)) – If True, this function returns a directed graph.

See also

fast_gnp_random_graph()

Notes

This algorithm [2] runs in \(O(n^2)\) time. For sparse graphs (that is, for small values of \(p\)), fast_gnp_random_graph() is a faster algorithm.

References

[1]	Erdős and A. Rényi, On Random Graphs, Publ. Math. 6, 290 (1959).

[2]	Gilbert, Random Graphs, Ann. Math. Stat., 30, 1141 (1959).