absorbing_centrality.compute_personalized_transition_matrix¶
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compute_personalized_transition_matrix
(G, alpha=0.85, restart_set=['_super_'])[source]¶ Returns the transition matrix of the random walk with restarts.
Parameters: - G (graph) –
- alpha (float, optional) – The probability of the random surfer to continue their walk (default is 0.85).
- restart_set (list, optional) – The set of nodes to restart from. If not supplied, the restarts lead to the supernode (default is [SUPER_NODE]).
Returns: P – The probability matrix for the random walk with restarts.
Return type: scipy.sparse.matrix