The influence of persuasion in opinion formation and polarization

Autores
la Rocca, Cristian Ernesto; Braunstein, Lidia Adriana; Vazquez, Federico
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a model that explores the influence of persuasion in a population of agents with positive and negative opinion orientations. The opinion of each agent is represented by an integer number k that expresses its level of agreement on a given issue, from totally against $k=-M$ to totally in favor k = M. Same-orientation agents persuade each other with probability p, becoming more extreme, while opposite-orientation agents become more moderate as they reach a compromise with probability q. The population initially evolves to (a) a polarized state for $r=p/q\gt 1$ , where opinions' distribution is peaked at the extreme values $k=\pm M$ , or (b) a centralized state for r < 1, with most opinions around $k=\pm 1$ . When $r \gg 1$ , polarization lasts for a time that diverges as $r^M \ln N$ , where N is the population's size. Finally, an extremist consensus (k = M or $-M$ ) is reached in a time that scales as $r^{-1}$ for $r \ll 1$.
Fil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Fil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Materia
Opinion Dynamics
Persuasion
Compromise
Polarization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32344
Acceder
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network_name_str CONICET Digital (CONICET)
spelling The influence of persuasion in opinion formation and polarizationla Rocca, Cristian ErnestoBraunstein, Lidia AdrianaVazquez, FedericoOpinion DynamicsPersuasionCompromisePolarizationhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We present a model that explores the influence of persuasion in a population of agents with positive and negative opinion orientations. The opinion of each agent is represented by an integer number k that expresses its level of agreement on a given issue, from totally against $k=-M$ to totally in favor k = M. Same-orientation agents persuade each other with probability p, becoming more extreme, while opposite-orientation agents become more moderate as they reach a compromise with probability q. The population initially evolves to (a) a polarized state for $r=p/q\gt 1$ , where opinions' distribution is peaked at the extreme values $k=\pm M$ , or (b) a centralized state for r < 1, with most opinions around $k=\pm 1$ . When $r \gg 1$ , polarization lasts for a time that diverges as $r^M \ln N$ , where N is the population's size. Finally, an extremist consensus (k = M or $-M$ ) is reached in a time that scales as $r^{-1}$ for $r \ll 1$.Fil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; ArgentinaFil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados UnidosFil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaEurophysics Letters2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32344Vazquez, Federico; Braunstein, Lidia Adriana; la Rocca, Cristian Ernesto; The influence of persuasion in opinion formation and polarization; Europhysics Letters; Europhysics Letters; 106; 4; 5-2014; 1-60295-5075CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/106/40004info:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/106/40004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:27:43Zoai:ri.conicet.gov.ar:11336/32344instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:27:43.659CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The influence of persuasion in opinion formation and polarization
title The influence of persuasion in opinion formation and polarization
spellingShingle The influence of persuasion in opinion formation and polarization
la Rocca, Cristian Ernesto
Opinion Dynamics
Persuasion
Compromise
Polarization
title_short The influence of persuasion in opinion formation and polarization
title_full The influence of persuasion in opinion formation and polarization
title_fullStr The influence of persuasion in opinion formation and polarization
title_full_unstemmed The influence of persuasion in opinion formation and polarization
title_sort The influence of persuasion in opinion formation and polarization
dc.creator.none.fl_str_mv la Rocca, Cristian Ernesto
Braunstein, Lidia Adriana
Vazquez, Federico
author la Rocca, Cristian Ernesto
author_facet la Rocca, Cristian Ernesto
Braunstein, Lidia Adriana
Vazquez, Federico
author_role author
author2 Braunstein, Lidia Adriana
Vazquez, Federico
author2_role author
author
dc.subject.none.fl_str_mv Opinion Dynamics
Persuasion
Compromise
Polarization
topic Opinion Dynamics
Persuasion
Compromise
Polarization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We present a model that explores the influence of persuasion in a population of agents with positive and negative opinion orientations. The opinion of each agent is represented by an integer number k that expresses its level of agreement on a given issue, from totally against $k=-M$ to totally in favor k = M. Same-orientation agents persuade each other with probability p, becoming more extreme, while opposite-orientation agents become more moderate as they reach a compromise with probability q. The population initially evolves to (a) a polarized state for $r=p/q\gt 1$ , where opinions' distribution is peaked at the extreme values $k=\pm M$ , or (b) a centralized state for r < 1, with most opinions around $k=\pm 1$ . When $r \gg 1$ , polarization lasts for a time that diverges as $r^M \ln N$ , where N is the population's size. Finally, an extremist consensus (k = M or $-M$ ) is reached in a time that scales as $r^{-1}$ for $r \ll 1$.
Fil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Cs.exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Fil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
description We present a model that explores the influence of persuasion in a population of agents with positive and negative opinion orientations. The opinion of each agent is represented by an integer number k that expresses its level of agreement on a given issue, from totally against $k=-M$ to totally in favor k = M. Same-orientation agents persuade each other with probability p, becoming more extreme, while opposite-orientation agents become more moderate as they reach a compromise with probability q. The population initially evolves to (a) a polarized state for $r=p/q\gt 1$ , where opinions' distribution is peaked at the extreme values $k=\pm M$ , or (b) a centralized state for r < 1, with most opinions around $k=\pm 1$ . When $r \gg 1$ , polarization lasts for a time that diverges as $r^M \ln N$ , where N is the population's size. Finally, an extremist consensus (k = M or $-M$ ) is reached in a time that scales as $r^{-1}$ for $r \ll 1$.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32344
Vazquez, Federico; Braunstein, Lidia Adriana; la Rocca, Cristian Ernesto; The influence of persuasion in opinion formation and polarization; Europhysics Letters; Europhysics Letters; 106; 4; 5-2014; 1-6
0295-5075
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32344
identifier_str_mv Vazquez, Federico; Braunstein, Lidia Adriana; la Rocca, Cristian Ernesto; The influence of persuasion in opinion formation and polarization; Europhysics Letters; Europhysics Letters; 106; 4; 5-2014; 1-6
0295-5075
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/106/40004
info:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/106/40004
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Europhysics Letters
publisher.none.fl_str_mv Europhysics Letters
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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