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A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package
The possible role played by individual attributes, sociodemographic characteristics and/or ecological pressures in the interaction between animals and the development of social relationships between them is of great interest in animal ecology and evolutionary biology. Social Network Analysis is an i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385643/ https://www.ncbi.nlm.nih.gov/pubmed/32719477 http://dx.doi.org/10.1038/s41598-020-69265-8 |
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author | Sosa, Sebastian Puga-Gonzalez, Ivan Hu, Fenghe Pansanel, Jérôme Xie, Xiaohua Sueur, Cédric |
author_facet | Sosa, Sebastian Puga-Gonzalez, Ivan Hu, Fenghe Pansanel, Jérôme Xie, Xiaohua Sueur, Cédric |
author_sort | Sosa, Sebastian |
collection | PubMed |
description | The possible role played by individual attributes, sociodemographic characteristics and/or ecological pressures in the interaction between animals and the development of social relationships between them is of great interest in animal ecology and evolutionary biology. Social Network Analysis is an ideal tool to study these types of questions. The Animal Network Toolkit Software (ANTs) R package was specifically developed to provide all the different social network analysis techniques currently used in the study of animal social networks. This global package enables users to (1) compute global, polyadic and nodal network measures; (2) perform data randomisation: data stream and network (node and link) permutations; (3) perform statistical permutation tests for static or temporal network analyses, and (4) visualise networks. ANTs allows researchers to perform multilevel network analyses ranging from individual network measures to interaction patterns and the analysis of the overall network structure, and carry out static or temporal network analyses without switching between different R packages, thus making a substantial contribution to advances in the study of animal behaviour. ANTs outperforms existing R packages for the computation speed of network measures and permutations. |
format | Online Article Text |
id | pubmed-7385643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73856432020-07-29 A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package Sosa, Sebastian Puga-Gonzalez, Ivan Hu, Fenghe Pansanel, Jérôme Xie, Xiaohua Sueur, Cédric Sci Rep Article The possible role played by individual attributes, sociodemographic characteristics and/or ecological pressures in the interaction between animals and the development of social relationships between them is of great interest in animal ecology and evolutionary biology. Social Network Analysis is an ideal tool to study these types of questions. The Animal Network Toolkit Software (ANTs) R package was specifically developed to provide all the different social network analysis techniques currently used in the study of animal social networks. This global package enables users to (1) compute global, polyadic and nodal network measures; (2) perform data randomisation: data stream and network (node and link) permutations; (3) perform statistical permutation tests for static or temporal network analyses, and (4) visualise networks. ANTs allows researchers to perform multilevel network analyses ranging from individual network measures to interaction patterns and the analysis of the overall network structure, and carry out static or temporal network analyses without switching between different R packages, thus making a substantial contribution to advances in the study of animal behaviour. ANTs outperforms existing R packages for the computation speed of network measures and permutations. Nature Publishing Group UK 2020-07-27 /pmc/articles/PMC7385643/ /pubmed/32719477 http://dx.doi.org/10.1038/s41598-020-69265-8 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sosa, Sebastian Puga-Gonzalez, Ivan Hu, Fenghe Pansanel, Jérôme Xie, Xiaohua Sueur, Cédric A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title | A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title_full | A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title_fullStr | A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title_full_unstemmed | A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title_short | A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package |
title_sort | multilevel statistical toolkit to study animal social networks: the animal network toolkit software (ants) r package |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385643/ https://www.ncbi.nlm.nih.gov/pubmed/32719477 http://dx.doi.org/10.1038/s41598-020-69265-8 |
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