Journal
ECOLOGY LETTERS
Volume 18, Issue 7, Pages 687-695Publisher
WILEY
DOI: 10.1111/ele.12447
Keywords
Cooperation; network dynamics; social network; spotted hyena
Categories
Funding
- National Science Foundation
- U.S. Department of Homeland Security
- U.S. Department of Agriculture
- NSF [EF-0832858, DBI-1300426, IOS-1121474, DEB-1353110]
- University of Tennessee, Knoxville
- NIH [R01GM105042]
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1121474, 1353110] Funding Source: National Science Foundation
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1300426] Funding Source: National Science Foundation
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Social structure influences ecological processes such as dispersal and invasion, and affects survival and reproductive success. Recent studies have used static snapshots of social networks, thus neglecting their temporal dynamics, and focused primarily on a limited number of variables that might be affecting social structure. Here, instead we modelled effects of multiple predictors of social network dynamics in the spotted hyena, using observational data collected during 20years of continuous field research in Kenya. We tested the hypothesis that the current state of the social network affects its long-term dynamics. We employed stochastic agent-based models that allowed us to estimate the contribution of multiple factors to network changes. After controlling for environmental and individual effects, we found that network density and individual centrality affected network dynamics, but that social bond transitivity consistently had the strongest effects. Our results emphasise the significance of structural properties of networks in shaping social dynamics.
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