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Social network theory in the behavioural sciences: potential applications
Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understand...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079911/ https://www.ncbi.nlm.nih.gov/pubmed/32214613 http://dx.doi.org/10.1007/s00265-007-0445-8 |
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author | Krause, J. Croft, D. P. James, R. |
author_facet | Krause, J. Croft, D. P. James, R. |
author_sort | Krause, J. |
collection | PubMed |
description | Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies. |
format | Online Article Text |
id | pubmed-7079911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-70799112020-03-23 Social network theory in the behavioural sciences: potential applications Krause, J. Croft, D. P. James, R. Behav Ecol Sociobiol Review Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies. Springer-Verlag 2007-07-14 2007 /pmc/articles/PMC7079911/ /pubmed/32214613 http://dx.doi.org/10.1007/s00265-007-0445-8 Text en © Springer-Verlag 2007 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Krause, J. Croft, D. P. James, R. Social network theory in the behavioural sciences: potential applications |
title | Social network theory in the behavioural sciences: potential applications |
title_full | Social network theory in the behavioural sciences: potential applications |
title_fullStr | Social network theory in the behavioural sciences: potential applications |
title_full_unstemmed | Social network theory in the behavioural sciences: potential applications |
title_short | Social network theory in the behavioural sciences: potential applications |
title_sort | social network theory in the behavioural sciences: potential applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079911/ https://www.ncbi.nlm.nih.gov/pubmed/32214613 http://dx.doi.org/10.1007/s00265-007-0445-8 |
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