Modeling limited attention in opinion dynamics by topological interactions
Systems and Control
2020-07-01 v2 Multiagent Systems
Systems and Control
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.
Cite
@article{arxiv.2003.08620,
title = {Modeling limited attention in opinion dynamics by topological interactions},
author = {Francesca Ceragioli and Paolo Frasca and Wilbert Samuel Rossi},
journal= {arXiv preprint arXiv:2003.08620},
year = {2020}
}
Comments
To be presented at NETGCOOP 2020; revised version including simulations