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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7516643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kaufmanmiron sociophysicsanalysisofmultigroupconflicts AT diephungt sociophysicsanalysisofmultigroupconflicts AT kaufmansanda sociophysicsanalysisofmultigroupconflicts |