NDLI: Social network theory in the behavioural sciences: potential applications

Content Provider	Springer Nature Link
Author	Krause, J. Croft, D. P. James, R.
Copyright Year	2007
Abstract	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.
Starting Page	15
Ending Page	27
Page Count	13
File Format	PDF
ISSN	03405443
Journal	Behavioral Ecology and Sociobiology
Volume Number	62
Issue Number	1
e-ISSN	14320762
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-07-14
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Social networks Social organisation Mate choice Disease transmission Information transfer Cooperation Zoology Behavioural Sciences
Content Type	Text
Resource Type	Article
Subject	Animal Science and Zoology Ecology, Evolution, Behavior and Systematics

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