Random walks on random networks of cliques: Inferring the network structure

We study the properties of discrete-time random walks on networks formed by randomly interconnected cliques, namely, random networks of cliques. Our purpose is to derive the parameters that define the network structure—specifically, the distribution of clique size and the abundance of inter-clique...

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Main Authors: Albano Nannini, Damián H. Zanette
Format: Article
Language:English
Published: Papers in Physics 2025-08-01
Series:Papers in Physics
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Online Access:https://www.papersinphysics.org/papersinphysics/article/view/1104
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author Albano Nannini
Damián H. Zanette
author_facet Albano Nannini
Damián H. Zanette
author_sort Albano Nannini
collection DOAJ
description We study the properties of discrete-time random walks on networks formed by randomly interconnected cliques, namely, random networks of cliques. Our purpose is to derive the parameters that define the network structure—specifically, the distribution of clique size and the abundance of inter-clique links—from the observation of selected statistical features along the random walk. To this end, we apply a Bayesian approach based on recording the times spent by the walker inside successively visited cliques. The procedure is illustrated with some numerical examples of diverse complexity, where the relevant structural parameters are successfully recovered.
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issn 1852-4249
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spelling doaj-art-9b0cbcbdc7f849b0bed411b32a6f8a422025-08-20T03:07:04ZengPapers in PhysicsPapers in Physics1852-42492025-08-011710.4279/pip.170002Random walks on random networks of cliques: Inferring the network structureAlbano Nannini0Damián H. Zanette1Centro Atómico Bariloche and Instituto Balseiro, CNEA-UNCUYO, 8400 San Carlos de Bariloche, Río Negro, ArgentinaCentro Atómico Bariloche and Instituto Balseiro, CNEA-UNCUYO, 8400 San Carlos de Bariloche, Río Negro, Argentina We study the properties of discrete-time random walks on networks formed by randomly interconnected cliques, namely, random networks of cliques. Our purpose is to derive the parameters that define the network structure—specifically, the distribution of clique size and the abundance of inter-clique links—from the observation of selected statistical features along the random walk. To this end, we apply a Bayesian approach based on recording the times spent by the walker inside successively visited cliques. The procedure is illustrated with some numerical examples of diverse complexity, where the relevant structural parameters are successfully recovered. https://www.papersinphysics.org/papersinphysics/article/view/1104networksrandom walksBayesian inference
spellingShingle Albano Nannini
Damián H. Zanette
Random walks on random networks of cliques: Inferring the network structure
Papers in Physics
networks
random walks
Bayesian inference
title Random walks on random networks of cliques: Inferring the network structure
title_full Random walks on random networks of cliques: Inferring the network structure
title_fullStr Random walks on random networks of cliques: Inferring the network structure
title_full_unstemmed Random walks on random networks of cliques: Inferring the network structure
title_short Random walks on random networks of cliques: Inferring the network structure
title_sort random walks on random networks of cliques inferring the network structure
topic networks
random walks
Bayesian inference
url https://www.papersinphysics.org/papersinphysics/article/view/1104
work_keys_str_mv AT albanonannini randomwalksonrandomnetworksofcliquesinferringthenetworkstructure
AT damianhzanette randomwalksonrandomnetworksofcliquesinferringthenetworkstructure