Sociophysics Analysis of Multi-Group Conflicts

Miron Kaufman; H. T. Diep; Sanda Kaufman

Sociophysics Analysis of Multi-Group Conflicts

Cleveland State University

Research output: Contribution to journal › Article › peer-review

Abstract

 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

Original language	American English
Journal	Entropy (MDPI)
State	Published - Feb 14 2020

Keywords

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

Disciplines

Physical Sciences and Mathematics
Social and Behavioral Sciences

Access to Document

entropy-22-00214.pdfFinal published version, 2.12 MBLicense: Unspecified

Cite this

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title = "Sociophysics Analysis of Multi-Group Conflicts",

abstract = " 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",

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AB - 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

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JO - Entropy (MDPI)

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