networkx.generators.random_graphs.barabasi_albert_graph¶
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barabasi_albert_graph
(n, m, seed=None)[source]¶ Returns a random graph according to the Barabási–Albert preferential attachment model.
A graph of \(n\) nodes is grown by attaching new nodes each with \(m\) edges that are preferentially attached to existing nodes with high degree.
Parameters: - n (int) – Number of nodes
- m (int) – Number of edges to attach from a new node to existing nodes
- seed (int, optional) – Seed for random number generator (default=None).
Returns: G
Return type: Raises: NetworkXError
– Ifm
does not satisfy1 <= m < n
.References
[1] A. L. Barabási and R. Albert “Emergence of scaling in random networks”, Science 286, pp 509-512, 1999.