Maximal-entropy random walks in complex networks with limited information.
نویسندگان
چکیده
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 α that depends on the degree-degree correlations and is equal to 1 in uncorrelated graphs.
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عنوان ژورنال:
- Physical review. E, Statistical, nonlinear, and soft matter physics
دوره 83 3 Pt 1 شماره
صفحات -
تاریخ انتشار 2011