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

View ORCID ProfileErin R. Siracusa, André S. Pereira, Josefine Bohr Brask, Josué E. Negron-Del Valle, Daniel Phillips, Cayo Biobank Research Unit, View ORCID ProfileMichael L. Platt, View ORCID ProfileJames P. Higham, View ORCID ProfileNoah Snyder-Mackler, View ORCID ProfileLauren J. N. Brent
doi: https://doi.org/10.1101/2022.08.10.503309
Erin R. Siracusa
aSchool of Psychology, Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
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  • For correspondence: erinsiracusa@gmail.com
André S. Pereira
aSchool of Psychology, Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
bResearch Centre for Anthropology and Health, Department of Life Sciences, University of Coimbra, Portugal
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Josefine Bohr Brask
cDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
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Josué E. Negron-Del Valle
dCenter for Evolution and Medicine, Arizona State University, Arizona, USA
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Daniel Phillips
dCenter for Evolution and Medicine, Arizona State University, Arizona, USA
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Michael L. Platt
eDepartment of Neuroscience, University of Pennsylvania, PA, USA
fDepartment of Psychology, University of Pennsylvania, PA, USA
gDepartment of Marketing, University of Pennsylvania, PA, USA
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James P. Higham
hDepartment of Anthropology, New York University, New York, USA
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Noah Snyder-Mackler
dCenter for Evolution and Medicine, Arizona State University, Arizona, USA
iSchool of Life Sciences, Arizona State University, Arizona, USA
jSchool for Human Evolution and Social Change, Arizona State University, Arizona, USA
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Lauren J. N. Brent
aSchool of Psychology, Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
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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: (1) an individual’s level of indirect connectedness in their network; and (2) overall patterns of network structure. Our empirical analyses revealed that female macaques became less indirectly connected as they aged for some, but not all network measures examined, suggesting 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Text has been substantially reorganized in response to reviewer comments.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 09, 2022.
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Ageing in a collective: The impact of ageing individuals on social network structure
Erin R. Siracusa, André S. Pereira, Josefine Bohr Brask, Josué E. Negron-Del Valle, Daniel Phillips, Cayo Biobank Research Unit, Michael L. Platt, James P. Higham, Noah Snyder-Mackler, Lauren J. N. Brent
bioRxiv 2022.08.10.503309; doi: https://doi.org/10.1101/2022.08.10.503309
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Ageing in a collective: The impact of ageing individuals on social network structure
Erin R. Siracusa, André S. Pereira, Josefine Bohr Brask, Josué E. Negron-Del Valle, Daniel Phillips, Cayo Biobank Research Unit, Michael L. Platt, James P. Higham, Noah Snyder-Mackler, Lauren J. N. Brent
bioRxiv 2022.08.10.503309; doi: https://doi.org/10.1101/2022.08.10.503309

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