Social networks in fish
Identifieur interne : 001180 ( Main/Exploration ); précédent : 001179; suivant : 001181Social networks in fish
Auteurs : J. Krause [Royaume-Uni] ; D. Croft [Royaume-Uni] ; R. James [Royaume-Uni]Source :
- Journal of Fish Biology [ 0022-1112 ] ; 2003-12.
Abstract
Social network theory underwent rapid development in the 1970s by sociologists and was recently further refined by physicists. Network theory has been applied to systems consisting of interconnected components as different as that of actors in Hollywood, the neural network of the nematode worm Caenorhabditis elegans, and the US national power grid. Network theory has great potential as a conceptual tool, for example, it can be used to provide quantitative predictions regarding information transmission, spreading of diseases, and the potential for establishing reciprocal altruistic relationships. Conventionally behavioural studies have been restricted to the analysis of social interactions between isolated pairs or small groups of individuals. Here we built up, however, from pair‐wise interactions, the social network of an entire population of guppies (Poecilia reticulata) in Trinidad. We show that guppies have highly structured social networks with significant repeated interactions between male–male, female–female and male–female pairs. Furthermore, sexual segregation within the network is positively correlated with the strength of the social interactions. Finally, individuals were observed to be more variable in their inter‐sexual interactions than their intra‐sexual ones.
Url:
DOI: 10.1111/j.1095-8649.2003.0216u.x
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Social network theory underwent rapid development in the 1970s by sociologists and was recently further refined by physicists. Network theory has been applied to systems consisting of interconnected components as different as that of actors in Hollywood, the neural network of the nematode worm Caenorhabditis elegans, and the US national power grid. Network theory has great potential as a conceptual tool, for example, it can be used to provide quantitative predictions regarding information transmission, spreading of diseases, and the potential for establishing reciprocal altruistic relationships. Conventionally behavioural studies have been restricted to the analysis of social interactions between isolated pairs or small groups of individuals. Here we built up, however, from pair‐wise interactions, the social network of an entire population of guppies (Poecilia reticulata) in Trinidad. We show that guppies have highly structured social networks with significant repeated interactions between male–male, female–female and male–female pairs. Furthermore, sexual segregation within the network is positively correlated with the strength of the social interactions. Finally, individuals were observed to be more variable in their inter‐sexual interactions than their intra‐sexual ones.</div>
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