Explaining conflict violence in terms of conflict actor dynamics.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 04 08 2023
accepted: 23 11 2023
medline: 4 12 2023
pubmed: 2 12 2023
entrez: 1 12 2023
Statut: epublish

Résumé

We study the severity of conflict-related violence in Colombia at an unprecedented granular scale in space and across time. Splitting the data into different geographical regions and different historically-relevant periods, we uncover variations in the patterns of conflict severity which we then explain in terms of local conflict actors' different collective behaviors and/or conditions using a simple mathematical model of conflict actors' grouping dynamics (coalescence and fragmentation). Specifically, variations in the approximate scaling values of the distributions of event lethalities can be explained by the changing strength ratio of the local conflict actors for distinct conflict eras and organizational regions. In this way, our findings open the door to a new granular spectroscopy of human conflicts in terms of local conflict actor strength ratios for any armed conflict.

Identifiants

pubmed: 38040778
doi: 10.1038/s41598-023-48218-x
pii: 10.1038/s41598-023-48218-x
pmc: PMC10692117
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

21187

Subventions

Organisme : Minerva Research Initiative in partnership with the Air Force Office of Scientific Research
ID : FA9550-22-1-0338
Organisme : Minerva Research Initiative in partnership with the Air Force Office of Scientific Research
ID : FA9550-22-1-0338
Organisme : Minerva Research Initiative in partnership with the Air Force Office of Scientific Research
ID : FA9550-22-1-0338
Organisme : Arts & Humanities Research Council and the Economic & Social Research Council through the Partnership for Conflict, Crime & Security Research
ID : AH/P005446/1
Organisme : Arts & Humanities Research Council
ID : AH/V011375/1
Organisme : U.S. Air Force Office of Scientific Research awards
ID : FA9550-20-1-0382

Informations de copyright

© 2023. The Author(s).

Références

Lat Am Perspect. 2001;28(1):31-55
pubmed: 17580411
Nature. 2009 Dec 17;462(7275):911-4
pubmed: 20016600
PLoS One. 2018 Oct 17;13(10):e0204639
pubmed: 30332451
Science. 1998 Sep 18;281(5384):1840-2
pubmed: 9743494

Auteurs

Katerina Tkacova (K)

Blavatnik School of Government, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Global Security Programme, Pembroke College, St. Aldates, Oxford, OX1 1DW, UK.

Annette Idler (A)

Blavatnik School of Government, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK. annette.idler@bsg.ox.ac.uk.
Global Security Programme, Pembroke College, St. Aldates, Oxford, OX1 1DW, UK. annette.idler@bsg.ox.ac.uk.

Neil Johnson (N)

Dynamic Online Networks Laboratory, George Washington University, Washington, DC, 20052, USA.

Eduardo López (E)

Department of Computational and Data Sciences, George Mason University, 4400 University Dr, Fairfax, VA, 22030, USA.

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Classifications MeSH