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# preferential_attachment_graph

preferential_attachment_graph(aseq, p, create_using=None, seed=None)

  Create a bipartite graph with a preferential attachment model from a given single degree sequence.

  The graph is composed of two partitions. Set A has nodes 0 to (len(aseq) - 1) and set B has nodes starting with node len(aseq). The number of nodes in set B is random.

  Parameters:
    aseq list

      Degree sequence for node set A.

    p float

      Probability that a new bottom node is added.

    create_using NetworkX graph instance, optional

      Return graph of this type.

    seed integer, random_state, or None (default)

      Indicator of random number generation state. See Randomness.

  Notes

  The nodes are assigned the attribute ‘bipartite’ with the value 0 or 1 to indicate which bipartite set the node belongs to.

  This function is not imported in the main namespace. To use it use nx.bipartite.preferential_attachment_graph

  References

  [1]

  Guillaume, J.L. and Latapy, M., Bipartite graphs as models of complex networks. Physica A: Statistical Mechanics and its Applications, 2006, 371(2), pp.795-813.

  [2]

  Jean-Loup Guillaume and Matthieu Latapy, Bipartite structure of all complex networks, Inf. Process. Lett. 90, 2004, pg. 215-221 https://doi.org/10.1016/j.ipl.2004.03.007