_transition_matrix(G, nodelist=None, weight='weight', walk_type=None, alpha=0.95)
This is a row stochastic giving the transition probabilities while performing a random walk on the graph. Depending on the value of walk_type, P can be the transition matrix induced by a random walk, a lazy random walk, or a random walk with teleportation (PageRank).
A NetworkX graph
The rows and columns are ordered according to the nodes in nodelist. If nodelist is None, then the ordering is produced by G.nodes().
The edge data key used to compute each value in the matrix. If None, then each edge has weight 1.
If None, P is selected depending on the properties of the graph. Otherwise is one of 'random', 'lazy', or 'pagerank'
(1 - alpha) is the teleportation probability used with pagerank
If walk_type not specified or alpha not in valid range
transition matrix of G.
Returns the transition matrix of G.
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