In this paper we propose a discrete time binary model, based on the homophily social mechanism, that dynamically reduces the cognitive dissonance among the agents in a social network. We show that the binary homophily model can drive an initially structurally unbalanced network towards a socially balanced one. In order to characterise nonstructurally balanced equilibrium points, we introduce a (V; )- factorization that finds an interesting interpretation in terms of structurally balanced classes, and can be used to investigate the case of 3 classes and to provide a complete analysis of the convergence to the equilibrium for small-size networks.

A Binary Homophily Model for Opinion Dynamics

De Pasquale, Giulia;Valcher, Maria Elena
2021

Abstract

In this paper we propose a discrete time binary model, based on the homophily social mechanism, that dynamically reduces the cognitive dissonance among the agents in a social network. We show that the binary homophily model can drive an initially structurally unbalanced network towards a socially balanced one. In order to characterise nonstructurally balanced equilibrium points, we introduce a (V; )- factorization that finds an interesting interpretation in terms of structurally balanced classes, and can be used to investigate the case of 3 classes and to provide a complete analysis of the convergence to the equilibrium for small-size networks.
2021
Proceedings of the 2021 European Control Conference
2021 European Control Conference
978-9-4638-4236-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3411312
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