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Auteurs principaux: Diaz-Diaz, Fernando, Devriendt, Karel, Lambiotte, Renaud
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2509.14193
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author Diaz-Diaz, Fernando
Devriendt, Karel
Lambiotte, Renaud
author_facet Diaz-Diaz, Fernando
Devriendt, Karel
Lambiotte, Renaud
contents This article deals with the characterization and detection of community and faction structures in signed networks. We approach the study of these mesoscale structures through the lens of the Gremban expansion. This graph operation lifts a signed graph to a larger unsigned graph, and allows the extension of standard techniques from unsigned to signed graphs. We develop the combinatorial and algebraic properties of the Gremban expansion, with a focus on its inherent involutive symmetry. The main technical result is a bijective correspondence between symmetry-respecting cut-sets in the Gremban expansion, and regular cut-sets and frustration sets in the signed graph (i.e., the combinatorial structures that underlie communities and factions respectively). This result forms the basis for our new approach to community-faction detection in signed networks, which makes use of spectral clustering techniques that naturally respect the required symmetries. We demonstrate how this approach distinguishes the two mesoscale structures, how to generalize the approach to multi-way clustering and discuss connections to network dynamical systems.
format Preprint
id arxiv_https___arxiv_org_abs_2509_14193
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gremban Expansion for Signed Networks: Algebraic and Combinatorial Foundations for Community-Faction Detection
Diaz-Diaz, Fernando
Devriendt, Karel
Lambiotte, Renaud
Discrete Mathematics
Combinatorics
Physics and Society
G.2; I.5
This article deals with the characterization and detection of community and faction structures in signed networks. We approach the study of these mesoscale structures through the lens of the Gremban expansion. This graph operation lifts a signed graph to a larger unsigned graph, and allows the extension of standard techniques from unsigned to signed graphs. We develop the combinatorial and algebraic properties of the Gremban expansion, with a focus on its inherent involutive symmetry. The main technical result is a bijective correspondence between symmetry-respecting cut-sets in the Gremban expansion, and regular cut-sets and frustration sets in the signed graph (i.e., the combinatorial structures that underlie communities and factions respectively). This result forms the basis for our new approach to community-faction detection in signed networks, which makes use of spectral clustering techniques that naturally respect the required symmetries. We demonstrate how this approach distinguishes the two mesoscale structures, how to generalize the approach to multi-way clustering and discuss connections to network dynamical systems.
title Gremban Expansion for Signed Networks: Algebraic and Combinatorial Foundations for Community-Faction Detection
topic Discrete Mathematics
Combinatorics
Physics and Society
G.2; I.5
url https://arxiv.org/abs/2509.14193