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Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions

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 dynamic...

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Detalles Bibliográficos
Autor principal: Vazquez, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025931/
https://www.ncbi.nlm.nih.gov/pubmed/35455154
http://dx.doi.org/10.3390/e24040491
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author Vazquez, Federico
author_facet Vazquez, Federico
author_sort Vazquez, Federico
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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.
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spelling pubmed-90259312022-04-23 Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions Vazquez, Federico Entropy (Basel) Editorial 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. MDPI 2022-03-31 /pmc/articles/PMC9025931/ /pubmed/35455154 http://dx.doi.org/10.3390/e24040491 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Vazquez, Federico
Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions
title 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_short Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions
title_sort modeling and analysis of social phenomena: challenges and possible research directions
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025931/
https://www.ncbi.nlm.nih.gov/pubmed/35455154
http://dx.doi.org/10.3390/e24040491
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