Multi-group analysis of grooming network position in a highly social primate

Torfs, Jonas R. R.; Stevens, Jeroen M. G.; Verspeek, Jonas; Laméris, Daan W.; Guéry, Jean‐Pascal; Eens, Marcel; Staes, Nicky

doi:10.1371/journal.pone.0284361

Cited by 3 publications

(1 citation statement)

References 90 publications

(198 reference statements)

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“…Over the last decade, social network theory has emerged as a competent means to enhance our understanding of complex interactions between animals (Farine and Strandburg-Peshkin 2015a;Hobson, Silk, Fefferman, Larremore, Rombach, Shai, and Pinter-Wollman 2021;Silk, Croft, Delahay, Hodgson, Weber, Boots, and McDonald 2017;Gomes, Boogert, and Cardoso 2023;Torfs, Stevens, Verspeek, Laméris, Guéry, Eens, and Staes 2023;Davis, Crofoot, and Farine 2018;Balasubramaniam, Beisner, Berman, Marco, Duboscq, Koirala, Majolo, MacIntosh, McFarland, Molesti, Ogawa, Petit, Schino, Sosa, Sueur, Thierry, de Waal, and McCowan 2018). Consequently, there has been an upsurge in software and tools available to construct and analyse animal social networks.…”

Section: Introduction: Social Network Analysis Of Animal Societiesmentioning

confidence: 99%

aniSNA : An R package to assess bias and uncertainty in social networks obtained from animals sampled via direct observations or satellite telemetry

Kaur,

Ciuti,

Reinking

et al. 2024

Preprint

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Animal social network analysis using GPS telemetry datasets provides insights into group dynamics, social structure, and interactions of the animal communities. It aids conservation by characterizing key aspects of animal sociality - including spatially explicit information on where sociality occurs (e.g., habitats, migratory corridors), contributing to informed management strategies for wildlife populations. The aniSNA package provides functions to assess and leverage data collected by sampling a subset of an animal population to perform social network analysis. The methodologies offered in this package are compatible with a variety of location and grouping data, collected through various means (e.g., direct observations, biologgers), however, they are particularly well suited to autocorrelated data streams such as data collected through GPS telemetry radio collars. The techniques assess the data's suitability to extract reliable statistical inferences from social networks and compute uncertainty estimates around the network metrics in the scenario where a fraction of the population is monitored. The package functions are user-friendly and allow for the implementation of pre-network data permutations for auto-correlated data streams, sensitivity analysis under downsampling, bootstrapping to establish confidence intervals for global and node-level network metrics, and correlation and regression analysis to assess the robustness of node-level network metrics. Using this package, animal ecologists will be able to compute social network metrics, both at the population and individual level, assess their reliability, and use such metrics in further analyses, e.g., to study social network variation within and across populations or link individual sociality to life history. This software also has plotting features that allow for visual interpretation of the findings.

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Section: Introduction: Social Network Analysis Of Animal Societiesmentioning

confidence: 99%

aniSNA : An R package to assess bias and uncertainty in social networks obtained from animals sampled via direct observations or satellite telemetry

Kaur,

Ciuti,

Reinking

et al. 2024

Preprint

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Female social dynamics as viewed from grooming networks in the Central Himalayan Langur (Semnopithecus schistaceus)

Nautiyal,

Romano,

Tanaka

et al. 2024

American J Primatol

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Enhanced survival and reproduction are associated with an individual's direct and indirect social connections with members of a group. Yet, the role of these connections is little known in a vast range of primate species. We studied female Central Himalayan Langur (CHL) to investigate the link between four specific attributes (dominance rank, age, genetic relatedness, and the presence of females carrying infants) and a female's direct and indirect social relationships. By analyzing grooming networks, we revealed different behavioral strategies: high‐ranking females form relationships with many females (high degree), whereas females with dependent infants have strong relationships (high strength and eigenvector). Subadult females are important individuals that hold the social network together (high betweenness), while an immigrant female strategy is to integrate herself into the group by forming strong bonds with females who themselves have strong bonds (high eigenvector). Our study sheds light on how behavioral strategies shape female CHL grooming networks, which may help them to secure fitness and survival advantages.

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Combinatoriality and Compositionality in Everyday Primate Skills

Gontier

2024

Int J Primatol

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Human language, hominin tool production modes, and multimodal communications systems of primates and other animals are currently well-studied for how they display compositionality or combinatoriality. In all cases, the former is defined as a kind of hierarchical nesting and the latter as a lack thereof. In this article, I extend research on combinatoriality and compositionality further to investigations of everyday primate skills. Daily locomotion modes as well as behaviors associated with subsistence practices, hygiene, or body modification rely on the hierarchical nesting of different behavioral and cognitive actions into complex skills. I introduce a scheme which uses hierarchical organization to differentiate combinatorial from compositional skills. Combinatorial skills are defined either as aggregational or linearly hierarchical depending on whether the skill occurs momentarily in space or unfolds sequentially over time. Compositional skills are defined either as nested or interactionally hierarchical depending on whether the skill results in new constructs or in new interactions between existing constructs. The methodology I propose combines epistemological hierarchy theory with data from primatological field research and experimental and comparative psychological research and provides a means to integrate current constructionist and extended views on cognition and action with older research on behavioral logics in psychology and operational chain thinking in anthropology. The approach furthermore synchronizes with ongoing research on teleonomy, intentionality, and creativity.

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Multi-group analysis of grooming network position in a highly social primate

Cited by 3 publications

References 90 publications

aniSNA : An R package to assess bias and uncertainty in social networks obtained from animals sampled via direct observations or satellite telemetry

aniSNA : An R package to assess bias and uncertainty in social networks obtained from animals sampled via direct observations or satellite telemetry

Female social dynamics as viewed from grooming networks in the Central Himalayan Langur (Semnopithecus schistaceus)

Combinatoriality and Compositionality in Everyday Primate Skills

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