Formidable females redux: male social integration into female networks and the value of dynamic multilayer networks

Author:

Bonnell Tyler R12,Vilette Chloé12,Young Christopher123,Henzi Stephanus Peter12,Barrett Louise12

Affiliation:

1. Department of Psychology, University of Lethbridge, 4401 University Drive, Lethbridge, T1K 3M4, Canada

2. Applied Behavioural Ecology and Ecosystems Research Unit, University of South Africa, Florida, Gauteng, South Africa

3. Endocrine Research Laboratory, Mammal Research Institute, Faculty of Natural and Agricultural Science, University of Pretoria, Pretoria, South Africa

Abstract

Abstract The development of multilayer network techniques is a boon for researchers who wish to understand how different interaction layers might influence each other, and how these in turn might influence group dynamics. Here, we investigate how integration between male and female grooming and aggression interaction networks influences male power trajectories in vervet monkeys Chlorocebus pygerythrus. Our previous analyses of this phenomenon used a monolayer approach, and our aim here is to extend these analyses using a dynamic multilayer approach. To do so, we constructed a temporal series of male and female interaction layers. We then used a multivariate multilevel autoregression model to compare cross-lagged associations between a male’s centrality in the female grooming layer and changes in male Elo ratings. Our results confirmed our original findings: changes in male centrality within the female grooming network were weakly but positively tied to changes in their Elo ratings. However, the multilayer network approach offered additional insights into this social process, identifying how changes in a male’s centrality cascade through the other network layers. This dynamic view indicates that the changes in Elo ratings are likely to be short-lived, but that male centrality within the female network had a much stronger impact throughout the multilayer network as a whole, especially on reducing intermale aggression (i.e., aggression directed by males toward other males). We suggest that multilayer social network approaches can take advantage of increased amounts of social data that are more commonly collected these days, using a variety of methods. Such data are inherently multilevel and multilayered, and thus offer the ability to quantify more precisely the dynamics of animal social behaviors.

Funder

NRF

UNISA

NSERC

Discovery grants

NSERC Canada Research Chair program

University of Pretoria Senior Postdoctoral Fellowship

FQNRT Post-Doctoral Fellowship

NSERC Canada Research Chair and Discovery Grants

Publisher

Oxford University Press (OUP)

Subject

Animal Science and Zoology

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