Opinion dynamics on signed graphs and graphons: Beyond the piece-wise constant case - INRIA - Institut National de Recherche en Informatique et en Automatique
Communication Dans Un Congrès Année : 2024

Opinion dynamics on signed graphs and graphons: Beyond the piece-wise constant case

Raoul Prisant
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Federica Garin
Paolo Frasca

Résumé

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, i.e. competing entities whose opinions can grow apart. We consider both the repelling model and the opposing model that are studied in the literature. We define the repelling and the opposing dynamics on graphons and we show that their initial value problem's solutions exist and are unique. We then show that the graphon dynamics well approximate the dynamics on large graphs that converge to a graphon. This result applies to large random graphs that are sampled according to a graphon. All these facts are illustrated in an extended numerical example.
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hal-04694563 , version 1 (11-09-2024)

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Raoul Prisant, Federica Garin, Paolo Frasca. Opinion dynamics on signed graphs and graphons: Beyond the piece-wise constant case. CDC 2024 - 63rd IEEE Conference on Decision and Control, Dec 2024, Milan, Italy. pp.1-6. ⟨hal-04694563⟩
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