Evidence map›Paper›PMID 33285989›Full record

ArticleEntropy (Basel, Switzerland)2020

Sociophysics Analysis of Multi-Group Conflicts.

Miron Kaufman, Hung T Diep, Sanda Kaufman

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Three-State Opinion Model on Complex Topologies.Entropy (Basel, Switzerland) · 2022
    Article
  4. Statistical Mechanics of Political Polarization.Entropy (Basel, Switzerland) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Miron KaufmanDepartment of Physics, Cleveland State University, Cleveland, OH 44115, USA.ORCID 0000-0003-2024-5980
Hung T DiepLaboratoire de Physique Théorique et Modélisation Université de Cergy-Pontoise, CNRS, UMR 8089, 2 Avenue Adolphe Chauvin, 95302 Cergy-Pontoise CEDEX, France.ORCID 0000-0003-1852-3435
Sanda KaufmanLevin College of Urban Affairs, Cleveland State University, Cleveland, OH 44115, USA.ORCID 0000-0003-4952-6057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 the role that the range of interactions plays with respect to the occurrence of chaotic behavior.

Indexed as

complex systemsmean-field theorymonte carlo simulationsocial conflictsstatistical physics approach

Identifiers

PMID33285989
PMCPMC7516643

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.