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Sociophysics Analysis of Multi-Group Conflicts

We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scen...

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Detalles Bibliográficos
Autores principales: Kaufman, Miron, Diep, Hung T., Kaufman, Sanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516643/
https://www.ncbi.nlm.nih.gov/pubmed/33285989
http://dx.doi.org/10.3390/e22020214
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author Kaufman, Miron
Diep, Hung T.
Kaufman, Sanda
author_facet Kaufman, Miron
Diep, Hung T.
Kaufman, Sanda
author_sort Kaufman, Miron
collection PubMed
description We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.
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spelling pubmed-75166432020-11-09 Sociophysics Analysis of Multi-Group Conflicts Kaufman, Miron Diep, Hung T. Kaufman, Sanda Entropy (Basel) Article We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior. MDPI 2020-02-14 /pmc/articles/PMC7516643/ /pubmed/33285989 http://dx.doi.org/10.3390/e22020214 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kaufman, Miron
Diep, Hung T.
Kaufman, Sanda
Sociophysics Analysis of Multi-Group Conflicts
title Sociophysics Analysis of Multi-Group Conflicts
title_full Sociophysics Analysis of Multi-Group Conflicts
title_fullStr Sociophysics Analysis of Multi-Group Conflicts
title_full_unstemmed Sociophysics Analysis of Multi-Group Conflicts
title_short Sociophysics Analysis of Multi-Group Conflicts
title_sort sociophysics analysis of multi-group conflicts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516643/
https://www.ncbi.nlm.nih.gov/pubmed/33285989
http://dx.doi.org/10.3390/e22020214
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