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Unifying casualty distributions within and across conflicts

The distribution of whole war sizes and the distribution of event sizes within individual wars, can both be well approximated by power laws where size is measured by the number of fatalities. However the power-law exponent value for whole wars has a substantially smaller magnitude – and hence a flat...

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Detalles Bibliográficos
Autores principales: Spagat, Michael, van Weezel, Stijn, Johnson Restrepo, D. Dylan, Zheng, Minzhang, Johnson, Neil F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475112/
https://www.ncbi.nlm.nih.gov/pubmed/32923727
http://dx.doi.org/10.1016/j.heliyon.2020.e04808
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author Spagat, Michael
van Weezel, Stijn
Johnson Restrepo, D. Dylan
Zheng, Minzhang
Johnson, Neil F.
author_facet Spagat, Michael
van Weezel, Stijn
Johnson Restrepo, D. Dylan
Zheng, Minzhang
Johnson, Neil F.
author_sort Spagat, Michael
collection PubMed
description The distribution of whole war sizes and the distribution of event sizes within individual wars, can both be well approximated by power laws where size is measured by the number of fatalities. However the power-law exponent value for whole wars has a substantially smaller magnitude – and hence a flatter distribution – than for individual wars. We provide detailed numerical evidence that confirms that these numerically different power-law exponent values are interrelated in a simple way by the effect of aggregating fatalities from individual events within wars to whole wars. We offer intuition for this finding and hence strengthen the case for a unified description and understanding of human conflict across scales.
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spelling pubmed-74751122020-09-11 Unifying casualty distributions within and across conflicts Spagat, Michael van Weezel, Stijn Johnson Restrepo, D. Dylan Zheng, Minzhang Johnson, Neil F. Heliyon Article The distribution of whole war sizes and the distribution of event sizes within individual wars, can both be well approximated by power laws where size is measured by the number of fatalities. However the power-law exponent value for whole wars has a substantially smaller magnitude – and hence a flatter distribution – than for individual wars. We provide detailed numerical evidence that confirms that these numerically different power-law exponent values are interrelated in a simple way by the effect of aggregating fatalities from individual events within wars to whole wars. We offer intuition for this finding and hence strengthen the case for a unified description and understanding of human conflict across scales. Elsevier 2020-08-27 /pmc/articles/PMC7475112/ /pubmed/32923727 http://dx.doi.org/10.1016/j.heliyon.2020.e04808 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Spagat, Michael
van Weezel, Stijn
Johnson Restrepo, D. Dylan
Zheng, Minzhang
Johnson, Neil F.
Unifying casualty distributions within and across conflicts
title Unifying casualty distributions within and across conflicts
title_full Unifying casualty distributions within and across conflicts
title_fullStr Unifying casualty distributions within and across conflicts
title_full_unstemmed Unifying casualty distributions within and across conflicts
title_short Unifying casualty distributions within and across conflicts
title_sort unifying casualty distributions within and across conflicts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475112/
https://www.ncbi.nlm.nih.gov/pubmed/32923727
http://dx.doi.org/10.1016/j.heliyon.2020.e04808
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