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Using network synchrony to identify drivers of social dynamics
Tyler R Bonnell1,2, S Peter Henzi1,2, Louise Barrett1,2
1Department of Psychology, University of Lethbridge, Lethbridge, Alberta, Canada.
Proceedings. Biological Sciences
|June 29, 2022
Summary
Network synchrony analysis reveals drivers of social dynamics in vervet monkeys. Shared environments influence social network strength, while internal social factors shape subgroup formation.
Area of Science:
- Animal behavior
- Social network analysis
- Primatology
Background:
- Social animals exhibit dynamic social networks affecting individuals and groups.
- Identifying drivers of social network changes is challenging.
Purpose of the Study:
- To investigate network synchronization as a method to differentiate extrinsic and intrinsic drivers of social network changes.
- To apply this method to vervet monkey allogrooming data.
Main Methods:
- Generated dynamic social networks from allogrooming data of three adjacent vervet monkey groups.
- Analyzed network synchrony (covariation of network measures across groups) to infer driver contributions.
Main Results:
- Strong synchrony in network strength indicated shared extrinsic environmental drivers.
- Low to moderate synchrony in network modularity suggested intrinsic social processes influence subgroup dynamics.
Conclusions:
- Network synchronization patterns can effectively distinguish between extrinsic and intrinsic drivers of social dynamics.
- This approach aids in understanding the proximate mechanisms underlying social network changes in animal groups.
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