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A Survey on Nonstrategic Models of Opinion Dynamics

Michel Grabisch and Agnieszka Rusinowska ()
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Agnieszka Rusinowska: Centre d'Economie de la Sorbonne - Paris School of Economics CNRS, https://sites.google.com/site/rusinowskagrabisch/

Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne

Abstract: The paper presents a survey on selected models of opinion dynamics. Both discrete (more precisely, binary) opinion models as well as continuous opinion models are discussed. We focus on frameworks that assume non-Bayesian updating of opinions. In the survey, a special attention is paid to modeling nonconformity (in particular, anticonformity) behavior. For the case of opinions represented by a binary variable, we recall the threshold model, the voter and q-voter models, the majority rule model, and the aggregation framework. For the case of continuous opinions, we present the DeGroot model and some of its variations, time-varying models, and bounded confidence models

Keywords: Domination; stable set; core; TU game (search for similar items in EconPapers)
JEL-codes: C71 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2021-03
New Economics Papers: this item is included in nep-gth and nep-ore
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Published in Games, MDPI, 2020, 11 (4)

Downloads: (external link)
http://mse.univ-paris1.fr/pub/mse/CES2021/21005.pdf (application/pdf)
https://halshs.archives-ouvertes.fr/halshs-03167886
https://www.mdpi.com/2073-4336/11/4/65

Related works:
Working Paper: A Survey on Nonstrategic Models of Opinion Dynamics (2021) Downloads
Working Paper: A Survey on Nonstrategic Models of Opinion Dynamics (2021) Downloads
Journal Article: A Survey on Nonstrategic Models of Opinion Dynamics (2020) Downloads
Working Paper: A Survey on Nonstrategic Models of Opinion Dynamics (2020) Downloads
Working Paper: A Survey on Nonstrategic Models of Opinion Dynamics (2020) Downloads
Working Paper: A Survey on Nonstrategic Models of Opinion Dynamics (2020) Downloads
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