Computerized assessment of dominance hierarchy in baboons (Papio papio)

Gullstrand, Julie; Claidière, Nicolas; Fagot, Joël

doi:10.3758/s13428-021-01539-z

Cited by 7 publications

(6 citation statements)

References 56 publications

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“…Such unidirectional behavioural propensities are consistent with dominance hierarchies (e.g. Gullstrand et al., 2021), in which unbalanced benefits are tolerated. However, after accounting for this individual‐level variation in grooming propensity, there is evidence of dyadic reciprocation, as indicated by the strong correlation, ρ , in dyadic random effects.…”

Section: Methodssupporting

confidence: 80%

Modelling animal network data in R using STRAND

Ross,

McElreath,

Redhead

2023

Journal of Animal Ecology

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There have been recent calls for wider application of generative modelling approaches in applied social network analysis. At present, however, it remains difficult for typical end users—for example, field researchers—to implement generative network models, as there is a dearth of openly available software packages that make application of such models as simple as other, permutation‐based approaches. Here, we outline the STRAND R package, which provides a suite of generative models for Bayesian analysis of animal social network data that can be implemented using simple, base R syntax. To facilitate ease of use, we provide a tutorial demonstrating how STRAND can be used to model proportion, count or binary network data using stochastic block models, social relation models or a combination of the two modelling frameworks. STRAND facilitates the application of generative network models to a broad range of data found in the animal social networks literature.

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Section: Methodssupporting

confidence: 80%

Modelling animal network data in R using STRAND

Ross,

McElreath,

Redhead

2023

Journal of Animal Ecology

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“…This indicates that baboons who frequently groom others are actually less likely to be groomed themselves by others. Such unidirectional behavioural propensities are consistent with dominance hierarchies (e.g., Gullstrand et al 2021) in which unbalanced benefits are tolerated. However, after accounting for this individual-level variation in grooming propensity, there is evidence of dyadic reciprocation, as indicated by the strong correlation, ρ , in dyadic random effects.…”

Section: Using Strandsupporting

confidence: 69%

Modelling human and non-human animal network data in R using STRAND

Ross

McElreath

Redhead

2022

Preprint

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There have been recent calls for wider application of generative modelling approaches in applied social network analysis. These calls have been motivated by the limitations of contemporary empirical frameworks, which have generally relied on post hoc permutation methods that do not actively account for interdependence in network data. At present, however, it remains difficult for typical end-users—e.g., field researchers—to apply generative network models, as there is a dearth of openly available software packages that make application of such methods as simple as other, permutation-based methods.Here, we outline the STRAND R package, which provides a suite of generative models for Bayesian analysis of human and non-human animal social network data that can be implemented using simple, base R syntax.To facilitate ease-of-use, we provide a tutorial demonstrating how STRAND can be used to model binary, count, or proportion data using stochastic blockmodels, social relations models, or a combination of the two modelling frameworks.

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“…Social hierarchies can be measured based on the outcomes of dyadic conflicts over access to any resources (Hamilton 1960;Boelkins 1967;Christopher 1972;Clark and Dillon 1973;Chamove 1983;Ballesta et al 2014). Only few solutions already exist in order to measure dominance interactions in animals automatically (Hrolenok et al 2018;Evans et al 2018;Gullstrand et al). In this study, we considered several months of daily use of MALT by up to 26 semi-free ranging Tonkean macaques in order to assess the dominance hierarchy of this group.…”

Section: Discussionmentioning

confidence: 99%

Assessing the reliability of an automated method for measuring dominance hierarchy in non-human primates

et al. 2021

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Among animal societies, dominance is an important social factor that influences inter-individual relationships. However, assessing dominance hierarchy can be a time-consuming activity which is potentially impeded by environmental factors, difficulties in the recognition of animals, or disturbance of animals during data collection. Here we took advantage of novel devices, machines for automated learning and testing (MALT), designed primarily to study non-human primate cognition, to additionally measure the dominance hierarchy of a semi-free-ranging primate group. When working on a MALT, an animal can be replaced by another, which could reflect an asymmetric dominance relationship. To assess the reliability of our method, we analysed a sample of the automated conflicts with video scoring and found that 74% of these replacements included genuine forms of social displacements. In 10% of the cases, we did not identify social interactions and in the remaining 16% we observed affiliative contacts between the monkeys. We analysed months of daily use of MALT by up to 26 semi-free-ranging Tonkean macaques (Macaca tonkeana) and found that dominance relationships inferred from these interactions strongly correlated with the ones derived from observations of spontaneous agonistic interactions collected during the same time period. An optional filtering procedure designed to exclude chance-driven displacements or affiliative contacts suggests that the presence of 26% of these interactions in data sets did not impair the reliability of this new method. We demonstrate that this method can be used to assess the dynamics of both individual social status, and group-wide hierarchical stability longitudinally with minimal research labour. Further, it facilitates a continuous assessment of dominance hierarchies in captive groups, even during unpredictable environmental or challenging social events, which underlines the usefulness of this method for group management purposes. Altogether, this study supports the use of MALT as a reliable tool to automatically and dynamically assess dominance hierarchy within captive groups of non-human primates, including juveniles, under conditions in which such technology can be used.

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Computerized assessment of dominance hierarchy in baboons (Papio papio)

Abstract: for their contribution to data collection. We thank Dany Paleressompoulle as well as the staff at the Rousset-sur-Arc Primate Center (CNRS-UPS846, France) for technical supports.

Cited by 7 publications

References 56 publications

Modelling animal network data in R using STRAND

Modelling animal network data in R using STRAND

Modelling human and non-human animal network data in R using STRAND

Assessing the reliability of an automated method for measuring dominance hierarchy in non-human primates

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