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.File | Dimensione | Formato | |
---|---|---|---|
A_Binary_Homophily_Model_for_Opinion_Dynamics.pdf
Accesso riservato
Tipologia:
Published (publisher's version)
Licenza:
Accesso privato - non pubblico
Dimensione
406.63 kB
Formato
Adobe PDF
|
406.63 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.