Ageing in a collective: the impact of ageing individuals on social network structure

Author:

Siracusa Erin R.1ORCID,Pereira André S.12ORCID,Brask Josefine Bohr3ORCID,Negron-Del Valle Josué E.4,Phillips Daniel4,Platt Michael L.567ORCID,Higham James P.8ORCID,Snyder-Mackler Noah4910ORCID,Brent Lauren J. N.1ORCID,

Affiliation:

1. School of Psychology, Centre for Research in Animal Behaviour, University of Exeter, Exeter EX4 4QG, UK

2. Research Centre for Anthropology and Health, Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal

3. Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark

4. Center for Evolution and Medicine, Arizona State University, Arizona, AZ 85281, USA

5. Department of Neuroscience, University of Pennsylvania, PA 19104, USA

6. Department of Psychology, University of Pennsylvania, PA 19104, USA

7. Department of Marketing, University of Pennsylvania, PA 19104, USA

8. Department of Anthropology, New York University, New York, NY 10003, USA

9. School of Life Sciences, Arizona State University, Arizona, AZ 85281, USA

10. School for Human Evolution and Social Change, Arizona State University, Arizona, AZ 85281, USA

Abstract

Ageing affects many phenotypic traits, but its consequences for social behaviour have only recently become apparent. Social networks emerge from associations between individuals. The changes in sociality that occur as individuals get older are thus likely to impact network structure, yet this remains unstudied. Here we use empirical data from free-ranging rhesus macaques and an agent-based model to test how age-based changes in social behaviour feed up to influence: (i) an individual's level of indirect connectedness in their network and (ii) overall patterns of network structure. Our empirical analyses revealed that female macaques became less indirectly connected as they aged for some, but not for all network measures examined. This suggests that indirect connectivity is affected by ageing, and that ageing animals can remain well integrated in some social contexts. Surprisingly, we did not find evidence for a relationship between age distribution and the structure of female macaque networks. We used an agent-based model to gain further understanding of the link between age-based differences in sociality and global network structure, and under which circumstances global effects may be detectable. Overall, our results suggest a potentially important and underappreciated role of age in the structure and function of animal collectives, which warrants further investigation. This article is part of a discussion meeting issue ‘Collective behaviour through time’.

Funder

Office of Research Infrastructure Programs of the NIH

Charles E. Kaufman Foundation

National Institute of Health

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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