Random Walk with Memory on Complex Networks

Fuente: arXiv
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Autores principales: Basnarkov, Lasko, Mirchev, Miroslav, Kocarev, Ljupco
Formato: Preprint
Publicado: 2019
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author Basnarkov, Lasko
Mirchev, Miroslav
Kocarev, Ljupco
author_facet Basnarkov, Lasko
Mirchev, Miroslav
Kocarev, Ljupco
contents We study random walk on complex networks with transition probabilities which depend on the current and previously visited nodes. By using an absorbing Markov chain we derive an exact expression for the mean first passage time between pairs of nodes, for a random walk with a memory of one step. We have analyzed one particular model of random walk, where the transition probabilities depend on the number of paths to the second neighbors. The numerical experiments on paradigmatic complex networks verify the validity of the theoretical expressions, and also indicate that the flattening of the stationary occupation probability accompanies a nearly optimal random search.
format Preprint
id arxiv_https___arxiv_org_abs_1907_08222
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Random Walk with Memory on Complex Networks
Basnarkov, Lasko
Mirchev, Miroslav
Kocarev, Ljupco
Physics and Society
Statistical Mechanics
Social and Information Networks
We study random walk on complex networks with transition probabilities which depend on the current and previously visited nodes. By using an absorbing Markov chain we derive an exact expression for the mean first passage time between pairs of nodes, for a random walk with a memory of one step. We have analyzed one particular model of random walk, where the transition probabilities depend on the number of paths to the second neighbors. The numerical experiments on paradigmatic complex networks verify the validity of the theoretical expressions, and also indicate that the flattening of the stationary occupation probability accompanies a nearly optimal random search.
title Random Walk with Memory on Complex Networks
topic Physics and Society
Statistical Mechanics
Social and Information Networks
url https://arxiv.org/abs/1907.08222