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# gnr_graph¶

gnr_graph(n, p, create_using=None, seed=None)[source]

Return the GNR digraph with n nodes and redirection probability p.

The GNR (growing network with redirection) graph is built by adding nodes one at a time with a link to one previously added node. The previous target node is chosen uniformly at random. With probabiliy p the link is instead “redirected” to the successor node of the target. The graph is always a (directed) tree.

Parameters : n : int The number of nodes for the generated graph. p : float The redirection probability. create_using : graph, optional (default DiGraph) Return graph of this type. The instance will be cleared. seed : hashable object, optional The seed for the random number generator.

References

 [R287] P. L. Krapivsky and S. Redner, Organization of Growing Random Networks, Phys. Rev. E, 63, 066123, 2001.

Examples

>>> D=nx.gnr_graph(10,0.5)  # the GNR graph
>>> G=D.to_undirected()  # the undirected version