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• W3099164246 abstract "We perform an in-depth study for mean first-passage time (MFPT)—a primary quantity for random walks with numerous applications—of maximal-entropy random walks (MERW) performed in complex networks. For MERW in a general network, we derive an explicit expression of MFPT in terms of the eigenvalues and eigenvectors of the adjacency matrix associated with the network. For MERW in uncorrelated networks, we also provide a theoretical formula of MFPT at the mean-field level, based on which we further evaluate the dominant scalings of MFPT to different targets for MERW in uncorrelated scale-free networks and compare the results with those corresponding to traditional unbiased random walks (TURW). We show that the MFPT to a hub node is much lower for MERW than for TURW. However, when the destination is a node with the least degree or a uniformly chosen node, the MFPT is higher for MERW than for TURW. Since MFPT to a uniformly chosen node measures real efficiency of search in networks, our work provides insight into general searching process in complex networks." @default.
• W3099164246 created "2020-11-23" @default.
• W3099164246 creator A5067533846 @default.
• W3099164246 creator A5075913772 @default.
• W3099164246 date "2014-06-20" @default.
• W3099164246 modified "2023-10-16" @default.
• W3099164246 title "Mean first-passage time for maximal-entropy random walks in complex networks" @default.
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• W3099164246 doi "https://doi.org/10.1038/srep05365" @default.
• W3099164246 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24947015" @default.
• W3099164246 hasPublicationYear "2014" @default.
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