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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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MDPI AG
2020-02-01
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Series: | Entropy |
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Online Access: | https://www.mdpi.com/1099-4300/22/2/214 |
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author | Miron Kaufman Hung T. Diep Sanda Kaufman |
author_facet | Miron Kaufman Hung T. Diep Sanda Kaufman |
author_sort | Miron Kaufman |
collection | DOAJ |
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. |
first_indexed | 2024-04-11T22:45:45Z |
format | Article |
id | doaj.art-e213c79ad24d4739ad4f59f67651672c |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-04-11T22:45:45Z |
publishDate | 2020-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-e213c79ad24d4739ad4f59f67651672c2022-12-22T03:58:46ZengMDPI AGEntropy1099-43002020-02-0122221410.3390/e22020214e22020214Sociophysics Analysis of Multi-Group ConflictsMiron Kaufman0Hung T. Diep1Sanda Kaufman2Department of Physics, Cleveland State University, Cleveland, OH 44115, USALaboratoire de Physique Théorique et Modélisation Université de Cergy-Pontoise, CNRS, UMR 8089, 2 Avenue Adolphe Chauvin, 95302 Cergy-Pontoise CEDEX, FranceLevin College of Urban Affairs, Cleveland State University, Cleveland, OH 44115, USAWe 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.https://www.mdpi.com/1099-4300/22/2/214social conflictsstatistical physics approachcomplex systemsmean-field theorymonte carlo simulation |
spellingShingle | Miron Kaufman Hung T. Diep Sanda Kaufman Sociophysics Analysis of Multi-Group Conflicts Entropy social conflicts statistical physics approach complex systems mean-field theory monte carlo simulation |
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 | social conflicts statistical physics approach complex systems mean-field theory monte carlo simulation |
url | https://www.mdpi.com/1099-4300/22/2/214 |
work_keys_str_mv | AT mironkaufman sociophysicsanalysisofmultigroupconflicts AT hungtdiep sociophysicsanalysisofmultigroupconflicts AT sandakaufman sociophysicsanalysisofmultigroupconflicts |