Warning
This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.
barabasi_albert_graph¶
- barabasi_albert_graph(n, m, seed=None)[source]¶
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.
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 : Graph
Notes
The initialization is a graph with with m nodes and no edges.
References
[R300] A. L. Barabási and R. Albert “Emergence of scaling in random networks”, Science 286, pp 509-512, 1999.