networkx.algorithms.link_analysis.pagerank_alg.google_matrix

networkx.algorithms.link_analysis.pagerank_alg.google_matrix(G, alpha=0.84999999999999998, personalization=None, nodelist=None)

Return the Google matrix of the graph.

Parameters :

G : graph

A NetworkX graph

alpha : float

The damping factor

personalization: dict, optional :

The “personalization vector” consisting of a dictionary with a key for every graph node and nonzero personalization value for each node.

nodelist : list, optional

The rows and columns are ordered according to the nodes in nodelist. If nodelist is None, then the ordering is produced by G.nodes().

Returns :

A : NumPy matrix

Google matrix of the graph

See also

pagerank, pagerank_numpy, pagerank_scipy