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barabasi_albert_graph(n, m, seed=None)¶
Return random graph using 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.
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).
G : Graph
The initialization is a graph with with m nodes and no edges.
[R306] A. L. Barabási and R. Albert “Emergence of scaling in random networks”, Science 286, pp 509-512, 1999.