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Winner-loser effects improve social network efficiency between competitors with equal resource holding power

Animal societies are structured of dominance hierarchy (DH). DH can be viewed as networks and analyzed by graph theory. We study the impact of state-dependent feedback (winner-loser effect) on the emergence of local dominance structures after pairwise contests between initially equal-ranking members...

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Autores principales: Hermanussen, M., Dammhahn, M., Scheffler, C., Groth, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475064/
https://www.ncbi.nlm.nih.gov/pubmed/37660194
http://dx.doi.org/10.1038/s41598-023-41225-y
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author Hermanussen, M.
Dammhahn, M.
Scheffler, C.
Groth, D.
author_facet Hermanussen, M.
Dammhahn, M.
Scheffler, C.
Groth, D.
author_sort Hermanussen, M.
collection PubMed
description Animal societies are structured of dominance hierarchy (DH). DH can be viewed as networks and analyzed by graph theory. We study the impact of state-dependent feedback (winner-loser effect) on the emergence of local dominance structures after pairwise contests between initially equal-ranking members (equal resource-holding-power, RHP) of small and large social groups. We simulated pairwise agonistic contests between individuals with and without a priori higher RHP by Monte-Carlo-method. Random pairwise contests between equal-ranking competitors result in random dominance structures (‘Null variant’) that are low in transitive triads and high in pass along triads; whereas state-dependent feedback (‘Winner-loser variant’) yields centralized ‘star’ structured DH that evolve from competitors with initially equal RHP and correspond to hierarchies that evolve from keystone individuals. Monte-Carlo simulated DH following state-dependent feedback show motif patterns very similar to those of a variety of natural DH, suggesting that state-dependent feedback plays a pivotal role in robust self-organizing phenomena that transcend the specifics of the individual. Self-organization based on state-dependent feedback leads to social structures that correspond to those resulting from pre-existing keystone individuals. As the efficiency of centralized social networks benefits both, the individual and the group, centralization of social networks appears to be an important evolutionary goal.
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spelling pubmed-104750642023-09-04 Winner-loser effects improve social network efficiency between competitors with equal resource holding power Hermanussen, M. Dammhahn, M. Scheffler, C. Groth, D. Sci Rep Article Animal societies are structured of dominance hierarchy (DH). DH can be viewed as networks and analyzed by graph theory. We study the impact of state-dependent feedback (winner-loser effect) on the emergence of local dominance structures after pairwise contests between initially equal-ranking members (equal resource-holding-power, RHP) of small and large social groups. We simulated pairwise agonistic contests between individuals with and without a priori higher RHP by Monte-Carlo-method. Random pairwise contests between equal-ranking competitors result in random dominance structures (‘Null variant’) that are low in transitive triads and high in pass along triads; whereas state-dependent feedback (‘Winner-loser variant’) yields centralized ‘star’ structured DH that evolve from competitors with initially equal RHP and correspond to hierarchies that evolve from keystone individuals. Monte-Carlo simulated DH following state-dependent feedback show motif patterns very similar to those of a variety of natural DH, suggesting that state-dependent feedback plays a pivotal role in robust self-organizing phenomena that transcend the specifics of the individual. Self-organization based on state-dependent feedback leads to social structures that correspond to those resulting from pre-existing keystone individuals. As the efficiency of centralized social networks benefits both, the individual and the group, centralization of social networks appears to be an important evolutionary goal. Nature Publishing Group UK 2023-09-02 /pmc/articles/PMC10475064/ /pubmed/37660194 http://dx.doi.org/10.1038/s41598-023-41225-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hermanussen, M.
Dammhahn, M.
Scheffler, C.
Groth, D.
Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title_full Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title_fullStr Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title_full_unstemmed Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title_short Winner-loser effects improve social network efficiency between competitors with equal resource holding power
title_sort winner-loser effects improve social network efficiency between competitors with equal resource holding power
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475064/
https://www.ncbi.nlm.nih.gov/pubmed/37660194
http://dx.doi.org/10.1038/s41598-023-41225-y
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