- barabasi_albert_graph(n, m, seed=None, initial_graph=None)#
Returns a random graph using Barabási–Albert preferential attachment
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.
Number of nodes
Number of edges to attach from a new node to existing nodes
- seedinteger, random_state, or None (default)
Indicator of random number generation state. See Randomness.
- initial_graphGraph or None (default)
Initial network for Barabási–Albert algorithm. It should be a connected graph for most use cases. A copy of
initial_graphis used. If None, starts from a star graph on (m+1) nodes.
mdoes not satisfy
1 <= m < n, or the initial graph number of nodes m0 does not satisfy
m <= m0 <= n.
A. L. Barabási and R. Albert “Emergence of scaling in random networks”, Science 286, pp 509-512, 1999.