4.8 Article

Comparative approaches in social network ecology

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ECOLOGY LETTERS
卷 -, 期 -, 页码 -

出版社

WILEY
DOI: 10.1111/ele.14345

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comparative analysis; disease dynamics; group stability; meta-analysis; network analysis; pathogen spread; social dominance; social networks; social system

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Comparing social network structures between species is important for understanding ecological and evolutionary processes. This article provides an overview of multispecies comparative social network studies in ecology and evolution, identifies key challenges, and offers methodological and empirical suggestions for future research. The aim is to encourage more publication and analysis of open social network datasets in animal ecology.
Social systems vary enormously across the animal kingdom, with important implications for ecological and evolutionary processes such as infectious disease dynamics, anti-predator defence, and the evolution of cooperation. Comparing social network structures between species offers a promising route to help disentangle the ecological and evolutionary processes that shape this diversity. Comparative analyses of networks like these are challenging and have been used relatively little in ecology, but are becoming increasingly feasible as the number of empirical datasets expands. Here, we provide an overview of multispecies comparative social network studies in ecology and evolution. We identify a range of advancements that these studies have made and key challenges that they face, and we use these to guide methodological and empirical suggestions for future research. Overall, we hope to motivate wider publication and analysis of open social network datasets in animal ecology. Comparing social network structures between species offers a promising route to help disentangle the ecological and evolutionary processes that shape them. We provide an overview of existing multispecies comparative social network studies in ecology and evolution. We then identify key challenges facing comparative social network analyses, and we use these to guide methodological and empirical suggestions for future research.image

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