Dynamical model for competing opinions

Detalhes bibliográficos
Autor(a) principal: Souza, Sergio Ricardo de Azevedo
Data de Publicação: 2012
Outros Autores: Goncalves, Sebastian
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/101825
Resumo: We propose an opinion model based on agents located at the vertices of a regular lattice. Each agent has an independent opinion (among an arbitrary, but fixed, number of choices) and its own degree of conviction. The latter changes every time two agents which have different opinions interact with each other. The dynamics leads to size distributions of clusters (made up of agents which have the same opinion and are located at contiguous spatial positions) which follow a power law, as long as the range of the interaction between the agents is not too short; i.e., the system self-organizes into a critical state. Short range interactions lead to an exponential cutoff in the size distribution and to spatial correlations which cause agents which have the same opinion to be closely grouped. When the diversity of opinions is restricted to two, a nonconsensus dynamic is observed, with unequal population fractions, whereas consensus is reached if the agents are also allowed to interact with those located far from them. The individual agents’ convictions, the preestablished interaction range, and the locality of the interaction between a pair of agents (their neighborhood has no effect on the interaction) are the main characteristics which distinguish our model from previous ones.
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spelling Souza, Sergio Ricardo de AzevedoGoncalves, Sebastian2014-08-26T09:26:15Z20121539-3755http://hdl.handle.net/10183/101825000836435We propose an opinion model based on agents located at the vertices of a regular lattice. Each agent has an independent opinion (among an arbitrary, but fixed, number of choices) and its own degree of conviction. The latter changes every time two agents which have different opinions interact with each other. The dynamics leads to size distributions of clusters (made up of agents which have the same opinion and are located at contiguous spatial positions) which follow a power law, as long as the range of the interaction between the agents is not too short; i.e., the system self-organizes into a critical state. Short range interactions lead to an exponential cutoff in the size distribution and to spatial correlations which cause agents which have the same opinion to be closely grouped. When the diversity of opinions is restricted to two, a nonconsensus dynamic is observed, with unequal population fractions, whereas consensus is reached if the agents are also allowed to interact with those located far from them. The individual agents’ convictions, the preestablished interaction range, and the locality of the interaction between a pair of agents (their neighborhood has no effect on the interaction) are the main characteristics which distinguish our model from previous ones.application/pdfengPhysical review. E, Statistical, nonlinear, and soft matter physics. Vol. 85, no. 5 (May 2012), 056103, 7 p.Sistemas complexosSistemas auto-organizaveisSistemas sociaisDynamical model for competing opinionsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000836435.pdf000836435.pdfTexto completo (inglês)application/pdf887513http://www.lume.ufrgs.br/bitstream/10183/101825/1/000836435.pdf1d5ce889834736c1bf8c9e508b6961d4MD51TEXT000836435.pdf.txt000836435.pdf.txtExtracted Texttext/plain33683http://www.lume.ufrgs.br/bitstream/10183/101825/2/000836435.pdf.txt47a580eb49133ce7fc45ae46ad90b472MD52THUMBNAIL000836435.pdf.jpg000836435.pdf.jpgGenerated Thumbnailimage/jpeg2109http://www.lume.ufrgs.br/bitstream/10183/101825/3/000836435.pdf.jpg5d3853ae6e872394503991bc1cccac5aMD5310183/1018252018-10-22 09:29:29.337oai:www.lume.ufrgs.br:10183/101825Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-22T12:29:29Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Dynamical model for competing opinions
title Dynamical model for competing opinions
spellingShingle Dynamical model for competing opinions
Souza, Sergio Ricardo de Azevedo
Sistemas complexos
Sistemas auto-organizaveis
Sistemas sociais
title_short Dynamical model for competing opinions
title_full Dynamical model for competing opinions
title_fullStr Dynamical model for competing opinions
title_full_unstemmed Dynamical model for competing opinions
title_sort Dynamical model for competing opinions
author Souza, Sergio Ricardo de Azevedo
author_facet Souza, Sergio Ricardo de Azevedo
Goncalves, Sebastian
author_role author
author2 Goncalves, Sebastian
author2_role author
dc.contributor.author.fl_str_mv Souza, Sergio Ricardo de Azevedo
Goncalves, Sebastian
dc.subject.por.fl_str_mv Sistemas complexos
Sistemas auto-organizaveis
Sistemas sociais
topic Sistemas complexos
Sistemas auto-organizaveis
Sistemas sociais
description We propose an opinion model based on agents located at the vertices of a regular lattice. Each agent has an independent opinion (among an arbitrary, but fixed, number of choices) and its own degree of conviction. The latter changes every time two agents which have different opinions interact with each other. The dynamics leads to size distributions of clusters (made up of agents which have the same opinion and are located at contiguous spatial positions) which follow a power law, as long as the range of the interaction between the agents is not too short; i.e., the system self-organizes into a critical state. Short range interactions lead to an exponential cutoff in the size distribution and to spatial correlations which cause agents which have the same opinion to be closely grouped. When the diversity of opinions is restricted to two, a nonconsensus dynamic is observed, with unequal population fractions, whereas consensus is reached if the agents are also allowed to interact with those located far from them. The individual agents’ convictions, the preestablished interaction range, and the locality of the interaction between a pair of agents (their neighborhood has no effect on the interaction) are the main characteristics which distinguish our model from previous ones.
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