Multi-scale Laplacian community detection in heterogeneous networks

Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multiscale mesoscopic organization of clusters and intertwined structures is still a fundamental and open problem of complex network theory. By taking advantage of the recent...

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Main Authors: Pablo Villegas, Andrea Gabrielli, Anna Poggialini, Tommaso Gili
Format: Article
Language:English
Published: American Physical Society 2025-01-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.013065
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author Pablo Villegas
Andrea Gabrielli
Anna Poggialini
Tommaso Gili
author_facet Pablo Villegas
Andrea Gabrielli
Anna Poggialini
Tommaso Gili
author_sort Pablo Villegas
collection DOAJ
description Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multiscale mesoscopic organization of clusters and intertwined structures is still a fundamental and open problem of complex network theory. By taking advantage of the recent Laplacian renormalization group (LRG), we scrutinize information diffusion pathways throughout networks to shed further light on this issue. Based on internode communicability, our definition provides a clear-cut framework for resolving the multiscale mesh of structures in complex networks, disentangling their intrinsic arboreal architecture. As it does not consider any topological null-model assumption, the LRG naturally permits the introduction of scale-dependent optimal partitions. Moreover, we demonstrate the existence of a particular class of nodes, called metastable nodes, that switch regions to which they belong at different scales, likely playing a pivotal role in cross-regional communication and, therefore, in managing macroscopic effects of the whole network.
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institution Kabale University
issn 2643-1564
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publisher American Physical Society
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series Physical Review Research
spelling doaj-art-225144087f824aca89acd85eac5e76772025-01-17T15:05:04ZengAmerican Physical SocietyPhysical Review Research2643-15642025-01-017101306510.1103/PhysRevResearch.7.013065Multi-scale Laplacian community detection in heterogeneous networksPablo VillegasAndrea GabrielliAnna PoggialiniTommaso GiliHeterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multiscale mesoscopic organization of clusters and intertwined structures is still a fundamental and open problem of complex network theory. By taking advantage of the recent Laplacian renormalization group (LRG), we scrutinize information diffusion pathways throughout networks to shed further light on this issue. Based on internode communicability, our definition provides a clear-cut framework for resolving the multiscale mesh of structures in complex networks, disentangling their intrinsic arboreal architecture. As it does not consider any topological null-model assumption, the LRG naturally permits the introduction of scale-dependent optimal partitions. Moreover, we demonstrate the existence of a particular class of nodes, called metastable nodes, that switch regions to which they belong at different scales, likely playing a pivotal role in cross-regional communication and, therefore, in managing macroscopic effects of the whole network.http://doi.org/10.1103/PhysRevResearch.7.013065
spellingShingle Pablo Villegas
Andrea Gabrielli
Anna Poggialini
Tommaso Gili
Multi-scale Laplacian community detection in heterogeneous networks
Physical Review Research
title Multi-scale Laplacian community detection in heterogeneous networks
title_full Multi-scale Laplacian community detection in heterogeneous networks
title_fullStr Multi-scale Laplacian community detection in heterogeneous networks
title_full_unstemmed Multi-scale Laplacian community detection in heterogeneous networks
title_short Multi-scale Laplacian community detection in heterogeneous networks
title_sort multi scale laplacian community detection in heterogeneous networks
url http://doi.org/10.1103/PhysRevResearch.7.013065
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AT andreagabrielli multiscalelaplaciancommunitydetectioninheterogeneousnetworks
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AT tommasogili multiscalelaplaciancommunitydetectioninheterogeneousnetworks