Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions
- Autores
- Vazquez, Federico
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics. The aim of this Special Issue is to allow physicists, mathematicians, engineers and social scientists to show their current research interests in social dynamics, as well as to collect recent advances and new techniques in the analysis of social systems.
Fil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina - Materia
-
AGENT-BASED MODELS
COMPLEX NETWORKS
COMPUTATIONAL SOCIAL SCIENCE
DATA ANALYSIS
OPINION DYNAMICS
SOCIAL DYNAMICS
SOCIOPHYSICS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/202450
Ver los metadatos del registro completo
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Modeling and Analysis of Social Phenomena: Challenges and Possible Research DirectionsVazquez, FedericoAGENT-BASED MODELSCOMPLEX NETWORKSCOMPUTATIONAL SOCIAL SCIENCEDATA ANALYSISOPINION DYNAMICSSOCIAL DYNAMICSSOCIOPHYSICShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics. The aim of this Special Issue is to allow physicists, mathematicians, engineers and social scientists to show their current research interests in social dynamics, as well as to collect recent advances and new techniques in the analysis of social systems.Fil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; ArgentinaMolecular Diversity Preservation International2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202450Vazquez, Federico; Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions; Molecular Diversity Preservation International; Entropy; 24; 4; 4-2022; 1-41099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/24/4/491info:eu-repo/semantics/altIdentifier/doi/10.3390/e24040491info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:55Zoai:ri.conicet.gov.ar:11336/202450instacron: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 09:34:56.056CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
title |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
spellingShingle |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions Vazquez, Federico AGENT-BASED MODELS COMPLEX NETWORKS COMPUTATIONAL SOCIAL SCIENCE DATA ANALYSIS OPINION DYNAMICS SOCIAL DYNAMICS SOCIOPHYSICS |
title_short |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
title_full |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
title_fullStr |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
title_full_unstemmed |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
title_sort |
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions |
dc.creator.none.fl_str_mv |
Vazquez, Federico |
author |
Vazquez, Federico |
author_facet |
Vazquez, Federico |
author_role |
author |
dc.subject.none.fl_str_mv |
AGENT-BASED MODELS COMPLEX NETWORKS COMPUTATIONAL SOCIAL SCIENCE DATA ANALYSIS OPINION DYNAMICS SOCIAL DYNAMICS SOCIOPHYSICS |
topic |
AGENT-BASED MODELS COMPLEX NETWORKS COMPUTATIONAL SOCIAL SCIENCE DATA ANALYSIS OPINION DYNAMICS SOCIAL DYNAMICS SOCIOPHYSICS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics. The aim of this Special Issue is to allow physicists, mathematicians, engineers and social scientists to show their current research interests in social dynamics, as well as to collect recent advances and new techniques in the analysis of social systems. Fil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina |
description |
This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics. The aim of this Special Issue is to allow physicists, mathematicians, engineers and social scientists to show their current research interests in social dynamics, as well as to collect recent advances and new techniques in the analysis of social systems. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04 |
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/11336/202450 Vazquez, Federico; Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions; Molecular Diversity Preservation International; Entropy; 24; 4; 4-2022; 1-4 1099-4300 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/202450 |
identifier_str_mv |
Vazquez, Federico; Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions; Molecular Diversity Preservation International; Entropy; 24; 4; 4-2022; 1-4 1099-4300 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/24/4/491 info:eu-repo/semantics/altIdentifier/doi/10.3390/e24040491 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Molecular Diversity Preservation International |
publisher.none.fl_str_mv |
Molecular Diversity Preservation International |
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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1844613084208955392 |
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13.070432 |