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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9025931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vazquezfederico modelingandanalysisofsocialphenomenachallengesandpossibleresearchdirections |