ArticleCurrent zoology2021
Using multilayer network analysis to explore the temporal dynamics of collective behavior.
Article in Current zoology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Bayesian multiplex network models in R using STRAND: methods for biologists and social scientists.Royal Society open science · 2025Article
- From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science.Frontiers in endocrinology · 2022Review
- Multilayer social networks reveal the social complexity of a cooperatively breeding bird.iScience · 2021Article
- Multilayer network analysis: new opportunities and challenges for studying animal social systems.Current zoology · 2021Article
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2 authors.
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Abstract
Social organisms often show collective behaviors such as group foraging or movement. Collective behaviors can emerge from interactions between group members and may depend on the behavior of key individuals. When social interactions change over time, collective behaviors may change because these behaviors emerge from interactions among individuals. Despite the importance of, and growing interest in, the temporal dynamics of social interactions, it is not clear how to quantify changes in interactions over time or measure their stability. Furthermore, the temporal scale at which we should observe changes in social networks to detect biologically meaningful changes is not always apparent. Here we use multilayer network analysis to quantify temporal dynamics of social networks of the social spider
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