Journal
BIOLOGY LETTERS
Volume 8, Issue 6, Pages 917-920Publisher
ROYAL SOC
DOI: 10.1098/rsbl.2012.0536
Keywords
coded nanotag; proximity data-loggers; social networks
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Funding
- NSF [IOS 0545735]
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1145625] Funding Source: National Science Foundation
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Social network analysis is an ideal quantitative tool for advancing our understanding of complex social behaviour. However, this approach is often limited by the challenges of accurately characterizing social structure and measuring network heterogeneity. Technological advances have facilitated the study of social networks, but to date, all such work has focused on large vertebrates. Here, we provide proof of concept for using proximity data-logging to quantify the frequency of social interactions, construct weighted networks and characterize variation in the social behaviour of a lek-breeding bird, the wire-tailed manakin, Pipra filicauda. Our results highlight how this approach can ameliorate the challenges of social network data collection and analysis by concurrently improving data quality and quantity.
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