Comparative approaches in social network ecology

Albery, Gregory F.; Bansal, Shweta; Silk, Matthew J.

doi:10.1111/ele.14345

Cited by 2 publications

(6 citation statements)

References 136 publications

(231 reference statements)

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“…A major challenge for comparative social network analysis is that networks have often been constructed based on different behaviours, data collection methods, sampling effort, and biological scales (Albery et al, 2024;Canteloup et al, 2020;Davis et al, 2018;Faust & Skvoretz, 2002). These differences can impact the extent to which a given observed network corresponds to the latent network of interest.…”

Section: Challenges Of Comparative Social Network Analysismentioning

confidence: 99%

“…Many challenges are associated with comparing networks constructed using different sampling methodologies (Albery et al, 2024). The two we focus on here are differences in sampling protocol and differences in how the collected data are summarised into edge weights in the observed social network.…”

Section: Differences In Sampling Type Across Networkmentioning

confidence: 99%

“…With the emergence of large databases bringing together these data across taxa (e.g. MacaqueNet, De Moor et al, 2023; Animal Social Network Repository (ASNR), Sah et al, 2019;DomArchive, Strauss et al, 2022), attention has turned to the statistical methods with which such datasets can be compared (Albery et al, 2024;Ellis et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…By explicitly representing social structure as an emergent property of social interactions between individuals (Hinde, 1976), social network analysis can be used to ask questions on the function and evolution of social relationships at the level of individuals, dyads, social groups and populations (Weiss et al, 2020;Whitehead, 2008). Comparative social network analyses across multiple populations or species can thus generate important insights about ecological and evolutionary processes that shape variation in social structure (Albery et al, 2024;Whitehead, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…However, despite the value of comparative social network analysis, only a relatively small body of literature compares social networks across species and taxonomic groups and only few studies so far have examined networks from multiple species collectively to draw conclusions about the evolution and drivers of variation of social systems (Albery et al, 2024). A major reason for the lack of comparative social network studies is the viability of comparing networks that are generated employing different methodologies, and that are potentially widely divergent in key properties such as network size and behaviour types (Faust & Skvoretz, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Layers of latency in social networks and their implications for comparative analyses

De Moor,

Brent,

Silk

et al. 2024

Preprint

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Animal social systems are remarkably diverse. Linking this diversity to its ecological and evolutionary drivers and consequences has been a major focus of biological research. Initial efforts have been done within groups, populations, and species. Equipped with this information, researchers are now turning to investigations of social structure that are comparative in nature. However, comparing social networks remains a considerable logistical and analytical challenge. Here we present the ‘layers of latency framework’, a conceptual framework that helps researchers to uncover and study the latent social structures that are of interest to them. We then use this conceptual framework to examine how we can tackle some of the central challenges to comparing animal social networks, focusing on differences between networks in behaviour type, sampling type, sampling effort, sampling scale and network size. For each of these focus points, we describe why and how they create challenges for comparative analyses, and we suggest potential directions for solutions. The layers of latency framework can help researchers to identify networks and features they can (or cannot) compare. In doing so, this framework facilitates advances in cross-species social network studies with the potential to generate new and important insights into the ecological and evolutionary drivers of variation in social structure across the animal kingdom.

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Section: Challenges Of Comparative Social Network Analysismentioning

confidence: 99%

Section: Differences In Sampling Type Across Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Layers of latency in social networks and their implications for comparative analyses

De Moor,

Brent,

Silk

et al. 2024

Preprint

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Expanding theory, methodology and empirical systems at the spatial–social interface

Albery,

Webber,

Farine

et al. 2024

Phil. Trans. R. Soc. B

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All animals exhibit some combination of spatial and social behaviours. A diversity of interactions occurs between such behaviours, producing emergent phenomena at the spatial–social interface . Untangling and interrogating these complex, intertwined processes can be vital for identifying the mechanisms, causes and consequences of behavioural variation in animal ecology. Nevertheless, the integrated study of the interactions between spatial and social phenotypes and environments (at the spatial–social interface) is in its relative infancy. In this theme issue, we present a collection of papers chosen to expand the spatial–social interface along several theoretical, methodological and empirical dimensions. They detail new perspectives, methods, study systems and more, as well as offering roadmaps for applied outputs and detailing exciting new directions for the field to move in the future. In this Introduction, we outline the contents of these papers, placing them in the context of what comes before, and we synthesize a number of takeaways and future directions for the spatial–social interface. This article is part of the theme issue ‘The spatial–social interface: a theoretical and empirical integration’.

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Comparative approaches in social network ecology

Cited by 2 publications

References 136 publications

Layers of latency in social networks and their implications for comparative analyses

Layers of latency in social networks and their implications for comparative analyses

Expanding theory, methodology and empirical systems at the spatial–social interface

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