Semi-Markov random walk on complex networks

Fuente: arXiv
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Autore principale: Basnarkov, Lasko
Natura: Preprint
Pubblicazione: 2025
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author Basnarkov, Lasko
author_facet Basnarkov, Lasko
contents We present a semi-Markov model of random walk on complex networks in discrete and continuous-time scenario. In the general setting of the semi-Markov chains, the duration of stay at given node - the sojourn time - is random, and the probability to transition to a neighbor depends on the sojourn time. Analytical formulae for the average sojourn time and the node occupation probability of infinite walk are presented and verified with Monte Carlo simulations for two examples. We propose an application of the semi-Markovian random walk for ranking web pages determined by the fraction of time that infinite random surfer spends on a web page - time rank, as an alternative to the existing PageRank that relies on the fraction of visits - visit rank.
format Preprint
id arxiv_https___arxiv_org_abs_2508_06961
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Semi-Markov random walk on complex networks
Basnarkov, Lasko
Physics and Society
We present a semi-Markov model of random walk on complex networks in discrete and continuous-time scenario. In the general setting of the semi-Markov chains, the duration of stay at given node - the sojourn time - is random, and the probability to transition to a neighbor depends on the sojourn time. Analytical formulae for the average sojourn time and the node occupation probability of infinite walk are presented and verified with Monte Carlo simulations for two examples. We propose an application of the semi-Markovian random walk for ranking web pages determined by the fraction of time that infinite random surfer spends on a web page - time rank, as an alternative to the existing PageRank that relies on the fraction of visits - visit rank.
title Semi-Markov random walk on complex networks
topic Physics and Society
url https://arxiv.org/abs/2508.06961