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Seasonal changes in the structure of rhesus macaque social networks
Authors:Lauren J N Brent  Ann MacLarnon  Michael L Platt  Stuart Semple
Institution:1. Centre for Research in Evolutionary and Environmental Anthropology, University of Roehampton, Holybourne Ave, London, SW15 4JD, UK
2. Duke Institute for Brain Sciences, Center for Cognitive Neuroscience, Duke University, 450 Research Drive, Durham, NC, 27708, USA
3. Department of Neurobiology, Department of Evolutionary Anthropology, and Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
Abstract:Social structure emerges from the patterning of interactions between individuals and plays a critical role in shaping some of the main characteristics of animal populations. The topological features of social structure, such as the extent to which individuals interact in clusters, can influence many biologically important factors, including the persistence of cooperation, and the rate of spread of disease. Yet, the extent to which social structure topology fluctuates over relatively short periods of time in relation to social, demographic, or environmental events remains unclear. Here, we use social network analysis to examine seasonal changes in the topology of social structures that emerge from socio-positive associations in adult female rhesus macaques (Macaca mulatta). Behavioral data for two different association types (grooming and spatial proximity) were collected for females in two free-ranging groups during two seasons: the mating and birth seasons. Stronger dyadic bonds resulted in social structures that were more tightly connected (i.e., of greater density) in the mating season compared to the birth season. Social structures were also more centralized around a subset of individuals and more clustered in the mating season than those in the birth season, although the latter differences were mostly driven by differences in density alone. Our results suggest a degree of temporal variation in the topological features of social structure in this population. Such variation may feed back on interactions, hence affecting the behaviors of individuals, and may therefore be important to take into account in studies of animal behavior.
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