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 accessAbstract
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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Cites
Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903
A simple rule for the evolution of cooperation on graphs and social networks
Ohtsuki, H., Hauert, C., Lieberman, E., & Nowak, M. A. (2006) · Nature · doi:10.1038/nature04605 · Cited by 2,208
Communication in neuronal networks
Laughlin, S. B., & Sejnowski, T. J. (2003) · Science · doi:10.1126/science.1089662 · Cited by 950
Scott, J. (2017) · doi:10.4135/9781529716597 · Cited by 879
The emergent properties of a dolphin social network
Lusseau, D. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rsbl.2003.0057 · Cited by 844
The socioecology of elephants: analysis of the processes creating multitiered social structures
Wittemyer, G., Douglas-Hamilton, I., & Getz, W. M. (2005) · Animal Behaviour · doi:10.1016/j.anbehav.2004.08.018 · Cited by 591
Cited by
A framework for studying social complexity
Kappeler, P. M. (2019) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-018-2601-8 · Cited by 316
Interactive robots in experimental biology
Krause, J., Winfield, A. F. T., & Deneubourg, J.-L. (2011) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.03.015 · Cited by 230
Self-citationAsher, L., Collins, L. M., Ortiz-Pelaez, A., Drewe, J. A., Nicol, C. J., & Pfeiffer, D. U. (2009) · Journal of The Royal Society Interface · doi:10.1098/rsif.2009.0221 · Cited by 102
Radosevich, L. M., Jaffe, K. E., & Minier, D. E. (2021) · Zoo Biology · doi:10.1002/zoo.21630 · Cited by 8
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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