Agent Based Models and Simulation in Social Sciences: A bibliometric review

Autores
Alvarez, Emiliano; Brida, Gabriel; London, Silvia
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.
Fil: Alvarez, Emiliano. Universidad de la Republica; Uruguay
Fil: Brida, Gabriel. Universidad de la Republica; Uruguay
Fil: London, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Conference on Complex System 2020
Reino Unido
Complex Systems Society
Materia
BIBLIOMETRIC REVIEW
MODELIZATION
COMPLEX SYSTEM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/247194
Acceder
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spelling Agent Based Models and Simulation in Social Sciences: A bibliometric reviewAlvarez, EmilianoBrida, GabrielLondon, SilviaBIBLIOMETRIC REVIEWMODELIZATIONCOMPLEX SYSTEMhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.Fil: Alvarez, Emiliano. Universidad de la Republica; UruguayFil: Brida, Gabriel. Universidad de la Republica; UruguayFil: London, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaConference on Complex System 2020Reino UnidoComplex Systems SocietySociety of Complex Systems2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/247194Agent Based Models and Simulation in Social Sciences: A bibliometric review; Conference on Complex System 2020; Reino Unido; 2020; 1-23CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://zenodo.org/record/4419178info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.4419177Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:32Zoai:ri.conicet.gov.ar:11336/247194instacron: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:34982025-09-03 09:44:33.096CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Agent Based Models and Simulation in Social Sciences: A bibliometric review
title Agent Based Models and Simulation in Social Sciences: A bibliometric review
spellingShingle Agent Based Models and Simulation in Social Sciences: A bibliometric review
Alvarez, Emiliano
BIBLIOMETRIC REVIEW
MODELIZATION
COMPLEX SYSTEM
title_short Agent Based Models and Simulation in Social Sciences: A bibliometric review
title_full Agent Based Models and Simulation in Social Sciences: A bibliometric review
title_fullStr Agent Based Models and Simulation in Social Sciences: A bibliometric review
title_full_unstemmed Agent Based Models and Simulation in Social Sciences: A bibliometric review
title_sort Agent Based Models and Simulation in Social Sciences: A bibliometric review
dc.creator.none.fl_str_mv Alvarez, Emiliano
Brida, Gabriel
London, Silvia
author Alvarez, Emiliano
author_facet Alvarez, Emiliano
Brida, Gabriel
London, Silvia
author_role author
author2 Brida, Gabriel
London, Silvia
author2_role author
author
dc.subject.none.fl_str_mv BIBLIOMETRIC REVIEW
MODELIZATION
COMPLEX SYSTEM
topic BIBLIOMETRIC REVIEW
MODELIZATION
COMPLEX SYSTEM
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.
Fil: Alvarez, Emiliano. Universidad de la Republica; Uruguay
Fil: Brida, Gabriel. Universidad de la Republica; Uruguay
Fil: London, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Conference on Complex System 2020
Reino Unido
Complex Systems Society
description Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/247194
Agent Based Models and Simulation in Social Sciences: A bibliometric review; Conference on Complex System 2020; Reino Unido; 2020; 1-23
CONICET Digital
CONICET
url http://hdl.handle.net/11336/247194
identifier_str_mv Agent Based Models and Simulation in Social Sciences: A bibliometric review; Conference on Complex System 2020; Reino Unido; 2020; 1-23
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CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://zenodo.org/record/4419178
info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.4419177
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
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Society of Complex Systems
publisher.none.fl_str_mv Society of Complex Systems
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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