Opinion Dynamics on Signed Graphs and Graphons

Fuente: arXiv
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Autori principali: Prisant, Raoul, Garin, Federica, Frasca, Paolo
Natura: Preprint
Pubblicazione: 2025
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author Prisant, Raoul
Garin, Federica
Frasca, Paolo
author_facet Prisant, Raoul
Garin, Federica
Frasca, Paolo
contents In this paper, we make use of graphon theory to study opinion dynamics on large undirected networks. The opinion dynamics models that we take into consideration allow for negative interactions between the individuals, whose opinions can thus grow apart. We consider both the repelling and the opposing models of negative interactions, which have been studied in the literature. We define the repelling and the opposing dynamics on signed graphons and we show that their initial value problem solutions exist and are unique. We then show that, in a suitable sense, the graphon dynamics is a good approximation of the dynamics on large graphs that converge to a graphon. This result applies to large random graphs that are sampled according to a graphon (W-random graphs), for which we provide a new convergence result under very general assumptions.
format Preprint
id arxiv_https___arxiv_org_abs_2505_04472
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Opinion Dynamics on Signed Graphs and Graphons
Prisant, Raoul
Garin, Federica
Frasca, Paolo
Social and Information Networks
Systems and Control
In this paper, we make use of graphon theory to study opinion dynamics on large undirected networks. The opinion dynamics models that we take into consideration allow for negative interactions between the individuals, whose opinions can thus grow apart. We consider both the repelling and the opposing models of negative interactions, which have been studied in the literature. We define the repelling and the opposing dynamics on signed graphons and we show that their initial value problem solutions exist and are unique. We then show that, in a suitable sense, the graphon dynamics is a good approximation of the dynamics on large graphs that converge to a graphon. This result applies to large random graphs that are sampled according to a graphon (W-random graphs), for which we provide a new convergence result under very general assumptions.
title Opinion Dynamics on Signed Graphs and Graphons
topic Social and Information Networks
Systems and Control
url https://arxiv.org/abs/2505.04472