Sociophysics Analysis of Multi-Group Conflicts.

complex systems mean-field theory monte carlo simulation social conflicts statistical physics approach

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
14 Feb 2020
Historique:
received: 08 01 2020
revised: 31 01 2020
accepted: 06 02 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 9 12 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33285989
pii: e22020214
doi: 10.3390/e22020214
pmc: PMC7516643
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

PLoS One. 2015 Apr 30;10(4):e0126234
pubmed: 25927995

Auteurs

Miron Kaufman (M)

Department of Physics, Cleveland State University, Cleveland, OH 44115, USA.

Hung T Diep (HT)

Laboratoire de Physique Théorique et Modélisation Université de Cergy-Pontoise, CNRS, UMR 8089, 2 Avenue Adolphe Chauvin, 95302 Cergy-Pontoise CEDEX, France.

Sanda Kaufman (S)

Levin College of Urban Affairs, Cleveland State University, Cleveland, OH 44115, USA.

Classifications MeSH