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Article

Using Social Network Analysis to Assess 'Groupness' in a Mixed-Species Zoo Exhibit of Tufted Capuchins (Sapajus apella) and Squirrel Monkeys (Saimiri sciureus)

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Citation

Daoudi-Simison S, Lee P & Buchanan-Smith HM (2024) Using Social Network Analysis to Assess 'Groupness' in a Mixed-Species Zoo Exhibit of Tufted Capuchins (Sapajus apella) and Squirrel Monkeys (Saimiri sciureus). Animals, 14 (23), Art. No.: 3360. https://doi.org/10.3390/ani14233360

Abstract
Mixed-species groups have been recorded in various primates, including tufted capuchin and squirrel monkeys. Measures of their ¡®groupness¡¯ are typically based on factors such as group stability, social interactions, proximity, or behavioural coordination. Social network analysis has become a useful tool for quantifying relationships among group-living individuals. Here, we apply social network analysis to two captive mixed-species groups of tufted capuchins and squirrel monkeys housed at the Living Links to Human Evolution Research Centre, Royal Zoological Society of Scotland, Edinburgh Zoo, UK. We conducted 183 h of focal observations (three hours per individual, excluding co-observations) and calculated association rates using a simple index ratio. Permutation t-tests were used to assess differences in the overall mixed-species network and network metrics according to species. While the two species exhibited some level of association, they formed separate clusters in the mixed-species networks; however, the East group had more balanced group sizes and showed some signs of closer inter-specific social ties compared to the West group. Our data indicate that, in captivity at least, while these groups co-exist in a small, shared space, they do not form cohesive mixed-species groups. We suggest caution in the assumption of mixed-species groups based on shared space only.

Keywords
mixed-species groups; primates; capuchins; squirrel monkeys; social network analysis

Journal
Animals: Volume 14, Issue 23

StatusPublished
Publication date30/11/2024
Publication date online30/11/2024
Date accepted by journal20/11/2024
URL
PublisherMDPI AG
eISSN2076-2615

People (1)

Professor Hannah Buchanan-Smith

Professor Hannah Buchanan-Smith

Professor, Psychology

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