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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Main Authors: Miron Kaufman, Hung T. Diep, Sanda Kaufman
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Entropy
Subjects:
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.
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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