ArticleMethods in ecology and evolution2023
BISoN: A Bayesian Framework for Inference of Social Networks.
Article in Methods in ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 44 citations in OpenAlex.
- Chimpanzees are not more aggressive than bonobos but target sexes differently.Science advances · 2026Article
- Windy weather drives social structure in wild zebra finches.Movement ecology · 2026Article
- A causal framework for the drivers of animal social network structure.PLoS computational biology · 2025Article
- Group traits moderate the relationship between individual social traits and fitness in gorillas.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Animal social networks are robust to changing association definitions.Behavioral ecology and sociobiology · 2025Article
- A Natural Disaster Exacerbates and Redistributes Disease Risk Among Free-Ranging Macaques by Altering Social Structure.Ecology letters · 2025Article
- Social ageing can protect against infectious disease in a group-living primate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Social ageing can protect against infectious disease in a group-living primate.bioRxiv : the preprint server for biology · 2024Article
- Neighbourhood benthic configuration reveals hidden co-occurrence social diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data.Movement ecology · 2024Article
- Ecological disturbance alters the adaptive benefits of social ties.Science (New York, N.Y.) · 2024Article
- The adaptive value of density-dependent habitat specialization and social network centrality.Nature communications · 2024Article
- Trade-offs between sociality and gastrointestinal parasite infection in the context of a natural disaster.Animal behaviour · 2024Article
- Hierarchically embedded scales of movement shape the social networks of vampire bats.Proceedings. Biological sciences · 2024Article
- Social network shrinking is explained by active and passive effects but not increasing selectivity with age in wild macaques.Proceedings. Biological sciences · 2024Article
- BISoN: A Bayesian Framework for Inference of Social Networks.Methods in ecology and evolution · 2023Article
- Article
- Latent layers in social networks and their implications for comparative analyses.Behavioral ecology : official journal of the International Society for Behavioral EcologyReview
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Animal social networks are often constructed from point estimates of edge weights. In many contexts, edge weights are inferred from observational data, and the uncertainty around estimates can be affected by various factors. Though this has been acknowledged in previous work, methods that explicitly quantify uncertainty in edge weights have not yet been widely adopted, and remain undeveloped for many common types of data. Furthermore, existing methods are unable to cope with some of the complexities often found in observational data, and do not propagate uncertainty in edge weights to subsequent statistical analyses.We introduce a unified Bayesian framework for modelling social networks based on observational data. This framework, which we call BISoN, can accommodate many common types of observational social data, can capture confounds and model effects at the level of observations, and is fully compatible with popular methods used in social network analysis.We show how the framework can be applied to common types of data and how various types of downstream statistical analyses can be performed, including non-random association tests and regressions on network properties.Our framework opens up the opportunity to test new types of hypotheses, make full use of observational datasets, and increase the reliability of scientific inferences. We have made both an R package and example R scripts available to enable adoption of the framework.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.