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  • 1Department of Life Sciences, Roehampton University, London, United Kingdom. j.lehmann@roehampton.ac.uk

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Area of Science:

  • Primatology
  • Behavioral Ecology
  • Social Network Analysis

Background:

  • Understanding primate social relationships is crucial, but how different behaviors influence their measurement remains understudied.
  • Previous analytical challenges limited the use of multiple behaviors to quantify social networks in primatology.
  • Recent advancements in social network analysis (SNA) enable the comparison of networks derived from diverse behaviors.

Purpose of the Study:

  • To investigate the overlap between social networks constructed from different behaviors in baboons (Papio anubis).
  • To assess the consistency of individual social positions across networks defined by various behaviors.
  • To determine the influence of sex on social network positions within a baboon population.

Main Methods:

  • Utilized a 15-month database of baboon social behaviors, including grooming, aggression, displacement, mounting, and presenting.
  • Calculated separate social network parameters for each recorded behavior.
  • Employed social network analysis (SNA) to compare network structures and individual positions.

Main Results:

  • Networks derived from displacement, mounting, and presenting behaviors showed high similarity.
  • Grooming and aggression networks were distinct from each other and from the other behavior-based networks.
  • Individual social positions were strongly influenced by sex, though centrality tended to be consistent across networks.

Conclusions:

  • A baboon's social environment is best represented by a multiplex network incorporating affiliative, aggressive, and sexual behaviors.
  • Social network analysis offers valuable tools for understanding animal social complexity.
  • The choice of behaviors significantly impacts network structure and individual social standing, necessitating a multi-behavioral approach.