A hybrid model of opinion dynamics with limited confidence

Paolo Frasca; Sophie Tarbouriech; Luca Zaccarian

doi:10.1016/j.ifacol.2016.10.190

A hybrid model of opinion dynamics with limited confidence

Paolo Frasca, Sophie Tarbouriech, Luca Zaccarian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

1 Downloads (Pure)

Abstract

This paper proposes a novel model of opinion dynamics with limited confidence. As opposed to other models, the onset of reciprocal influences between individuals is not defined by absolute thresholds, but by a notion of relative relevance for each link. The proposed dynamics takes the form of a hybrid dynamical system, where topology and opinions are coupled but as distinct variables. We prove converge to opinion distributions where disconnected clusters of individuals agree locally, while each cluster holds a different opinion. We also illustrate the dynamics via simulations.

Original language	Undefined
Title of host publication	IFAC Symposium on Nonlinear Control Systems
Place of Publication	Amsterdam
Publisher	Elsevier
Pages	351-355
Number of pages	5
DOIs	https://doi.org/10.1016/j.ifacol.2016.10.190
Publication status	Published - Aug 2016
Event	10th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2016: IFAC Symposium on Nonlinear Control Systems - Monterey, CA, USA, Amsterdam Duration: 23 Aug 2016 → 25 Aug 2016

Publication series

Name
Publisher	Elsevier
Number	18
Volume	49
ISSN (Print)	2405-8963

Conference

Conference	10th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2016
City	Amsterdam
Period	23/08/16 → 25/08/16
Other	23-25 August 2016

Keywords

EWI-27421
IR-103045
METIS-320891

Access to Document

10.1016/j.ifacol.2016.10.190

Cite this

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title = "A hybrid model of opinion dynamics with limited confidence",

abstract = "This paper proposes a novel model of opinion dynamics with limited confidence. As opposed to other models, the onset of reciprocal influences between individuals is not defined by absolute thresholds, but by a notion of relative relevance for each link. The proposed dynamics takes the form of a hybrid dynamical system, where topology and opinions are coupled but as distinct variables. We prove converge to opinion distributions where disconnected clusters of individuals agree locally, while each cluster holds a different opinion. We also illustrate the dynamics via simulations.",

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AB - This paper proposes a novel model of opinion dynamics with limited confidence. As opposed to other models, the onset of reciprocal influences between individuals is not defined by absolute thresholds, but by a notion of relative relevance for each link. The proposed dynamics takes the form of a hybrid dynamical system, where topology and opinions are coupled but as distinct variables. We prove converge to opinion distributions where disconnected clusters of individuals agree locally, while each cluster holds a different opinion. We also illustrate the dynamics via simulations.

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KW - IR-103045

KW - METIS-320891

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