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arXiv · 1007.4936

Maximal-entropy random walks in complex networks with limited information

Roberta Sinatra·Jesús Gómez-Gardeñes·Renaud Lambiotte·Vincenzo Nicosia·Vito Latora
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Abstract

Maximization of the entropy rate is an important issue to design diffusion processes aiming at a well-mixed state. We demonstrate that it is possible to construct maximal-entropy random walks with only local information on the graph structure. In particular, we show that an almost maximal-entropy random walk is obtained when the step probabilities are proportional to a power of the degree of the target node, with an exponent $\alpha$ that depends on the degree-degree correlations, and is equal to 1 in uncorrelated graphs.

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Roberta Sinatra, Jesús Gómez-Gardeñes, Renaud Lambiotte, Vincenzo Nicosia, Vito Latora. 2010-07-28. Maximal-entropy random walks in complex networks with limited information. https://doi.org/10.1103/physreve.83.030103

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