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Modeling limited attention in opinion dynamics by topological interactions

2020/03/19 by Francesca Ceragioli, Ceragioli, Francesca, Paolo Frasca +3
Computer Science · Engineering · Physics and Astronomy · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Quantum many-body systems #cs.MA #cs.SY #eess.SY

paper · pdf · doi:10.48550/arxiv.2003.08620

To be presented at NETGCOOP 2020; revised version including simulations

arxiv created 2020/06/30 · arxiv updated 2020/07/01

Abstract

This work explores models of opinion dynamics with opinion-dependent connectivity. Our starting point is that individuals have limited capabilities to engage in interactions with their peers. Motivated by this observation, we propose a continuous-time opinion dynamics model such that interactions take place with a limited number of peers: we refer to these interactions as topological, as opposed to metric interactions that are postulated in classical bounded-confidence models. We observe that topological interactions produce equilibria that are very robust to perturbations.

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