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Cited by 489

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Social network theory in the behavioural sciences: potential applications

Open access
Krause, J., Croft, D. P., James, R.·2007·Behavioral Ecology and Sociobiology

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.

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Metadata

Authors
Krause, J., Croft, D. P., & James, R.
Venue
Behavioral Ecology and Sociobiology
Published
2007-07-14
Volume
62
Issue
1
Pages
15-27
ISSN
  • 0340-5443 (ISSN-L)
  • 1432-0762
OpenAlex
W2113953610
Cited by
489
References
6
FWCI
22.31
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Social network theory in the behavioural sciences: potential applications. https://app.cochat.ai/papers/10.1007/s00265-007-0445-8
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Krause, J., Croft, D. P., & James, R. (2007). Social network theory in the behavioural sciences: potential applications. Behavioral Ecology and Sociobiology. https://doi.org/10.1007/s00265-007-0445-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.