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Do I Know You? How Individual Recognition Affects Group Formation and Structure
Groups in nature can be formed by interactions between individuals, or by external pressures like predation. It is reasonable to assume that groups formed by internal and external conditions have different dynamics and structures. We propose a computational model to investigate the effects of indivi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268392/ https://www.ncbi.nlm.nih.gov/pubmed/28125708 http://dx.doi.org/10.1371/journal.pone.0170737 |
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author | Rios, Vitor Passos Kraenkel, Roberto André |
author_facet | Rios, Vitor Passos Kraenkel, Roberto André |
author_sort | Rios, Vitor Passos |
collection | PubMed |
description | Groups in nature can be formed by interactions between individuals, or by external pressures like predation. It is reasonable to assume that groups formed by internal and external conditions have different dynamics and structures. We propose a computational model to investigate the effects of individual recognition on the formation and structure of animal groups. Our model is composed of agents that can recognize each other and remember previous interactions, without any external pressures, in order to isolate the effects of individual recognition. We show that individual recognition affects the number and size of groups, and the modularity of the social networks. This model can be used as a null model to investigate the effects of external factors on group formation and persistence. |
format | Online Article Text |
id | pubmed-5268392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52683922017-02-06 Do I Know You? How Individual Recognition Affects Group Formation and Structure Rios, Vitor Passos Kraenkel, Roberto André PLoS One Research Article Groups in nature can be formed by interactions between individuals, or by external pressures like predation. It is reasonable to assume that groups formed by internal and external conditions have different dynamics and structures. We propose a computational model to investigate the effects of individual recognition on the formation and structure of animal groups. Our model is composed of agents that can recognize each other and remember previous interactions, without any external pressures, in order to isolate the effects of individual recognition. We show that individual recognition affects the number and size of groups, and the modularity of the social networks. This model can be used as a null model to investigate the effects of external factors on group formation and persistence. Public Library of Science 2017-01-26 /pmc/articles/PMC5268392/ /pubmed/28125708 http://dx.doi.org/10.1371/journal.pone.0170737 Text en © 2017 Rios, Kraenkel http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rios, Vitor Passos Kraenkel, Roberto André Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title | Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title_full | Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title_fullStr | Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title_full_unstemmed | Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title_short | Do I Know You? How Individual Recognition Affects Group Formation and Structure |
title_sort | do i know you? how individual recognition affects group formation and structure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268392/ https://www.ncbi.nlm.nih.gov/pubmed/28125708 http://dx.doi.org/10.1371/journal.pone.0170737 |
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