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Asymmetric Contrarians in Opinion Dynamics

Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting x and y the respective proportions of A and B contrarians, four schemes of implementations are studied. The first scheme activates c...

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Detalles Bibliográficos
Autores principales: Galam, Serge, Cheon, Taksu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516446/
https://www.ncbi.nlm.nih.gov/pubmed/33285800
http://dx.doi.org/10.3390/e22010025
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author Galam, Serge
Cheon, Taksu
author_facet Galam, Serge
Cheon, Taksu
author_sort Galam, Serge
collection PubMed
description Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting x and y the respective proportions of A and B contrarians, four schemes of implementations are studied. The first scheme activates contrarians after each series of updates with probabilities x and y for agents holding respectively opinion A and B. Second scheme activates contrarians within the update groups only against global majority with probability x when A is the majority and y when B is the majority. The third scheme considers in-group contrarians acting prior to the local majority update against both local majority and minority opinions. The last scheme activates in-group contrarians prior to the local majority update but only against the local majority. The main result is the loss of the fifty–fifty attractor produced by symmetric contrarians. Producing a bit less contrarians on its own side than the other side becomes the key to win a public debate, which in turn can guarantee an election victory. The associated phase diagram of opinion dynamics is found to exhibit a rich variety of counterintuitive results.
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spelling pubmed-75164462020-11-09 Asymmetric Contrarians in Opinion Dynamics Galam, Serge Cheon, Taksu Entropy (Basel) Article Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting x and y the respective proportions of A and B contrarians, four schemes of implementations are studied. The first scheme activates contrarians after each series of updates with probabilities x and y for agents holding respectively opinion A and B. Second scheme activates contrarians within the update groups only against global majority with probability x when A is the majority and y when B is the majority. The third scheme considers in-group contrarians acting prior to the local majority update against both local majority and minority opinions. The last scheme activates in-group contrarians prior to the local majority update but only against the local majority. The main result is the loss of the fifty–fifty attractor produced by symmetric contrarians. Producing a bit less contrarians on its own side than the other side becomes the key to win a public debate, which in turn can guarantee an election victory. The associated phase diagram of opinion dynamics is found to exhibit a rich variety of counterintuitive results. MDPI 2019-12-24 /pmc/articles/PMC7516446/ /pubmed/33285800 http://dx.doi.org/10.3390/e22010025 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Galam, Serge
Cheon, Taksu
Asymmetric Contrarians in Opinion Dynamics
title Asymmetric Contrarians in Opinion Dynamics
title_full Asymmetric Contrarians in Opinion Dynamics
title_fullStr Asymmetric Contrarians in Opinion Dynamics
title_full_unstemmed Asymmetric Contrarians in Opinion Dynamics
title_short Asymmetric Contrarians in Opinion Dynamics
title_sort asymmetric contrarians in opinion dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516446/
https://www.ncbi.nlm.nih.gov/pubmed/33285800
http://dx.doi.org/10.3390/e22010025
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