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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7475112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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