ReviewBiological reviews of the Cambridge Philosophical Society2021
A guide to choosing and implementing reference models for social network analysis.
Review in Biological reviews of the Cambridge Philosophical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Simulating contact networks for livestock disease epidemiology: a systematic review.Journal of the Royal Society, Interface · 2023Pooled it
- Relationship between spatial and social phenotypes in an avian scavenger.The Journal of animal ecology · 2026Article
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- Neural similarity predicts whether strangers become friends.Nature human behaviour · 2025Article
- Social network analysis as a new tool to measure academic impact of physicians.Laryngoscope investigative otolaryngology · 2025Article
- A wrap-around movement path randomization method to distinguish social and spatial drivers of animal interactions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- International Collaboration in Taiwan Emergency Department Publications: A Social Network Analysis.Journal of acute medicine · 2024Article
- Collective signalling is shaped by feedbacks between signaller variation, receiver perception and acoustic environment in a simulated communication network.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Hierarchically embedded scales of movement shape the social networks of vampire bats.Proceedings. Biological sciences · 2024Article
- Connecting groups and behaviours: A network analysis of identity-infused behaviours.The British journal of social psychology · 2024Article
- Article
- Social situations differ in their contribution to population-level social structure in griffon vultures.Ecology and evolution · 2023Article
- Stage distinctive communication networks of the online breast cancer community.Scientific reports · 2023Article
- Graphlet correlation distance to compare small graphs.PloS one · 2023Article
- Nonhuman primate abnormal behavior: Etiology, assessment, and treatment.American journal of primatology · 2022Review
- Behavioural variation among workers promotes feed-forward loops in a simulated insect colony.Royal Society open science · 2022Article
- Social hierarchies and social networks in humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Permutation tests for hypothesis testing with animal social network data: Problems and potential solutions.Methods in ecology and evolution · 2022Article
- Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Multilayer network analyses as a toolkit for measuring social structure.Current zoology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 2 countries.
Funding
Abstract
Analysing social networks is challenging. Key features of relational data require the use of non-standard statistical methods such as developing system-specific null, or reference, models that randomize one or more components of the observed data. Here we review a variety of randomization procedures that generate reference models for social network analysis. Reference models provide an expectation for hypothesis testing when analysing network data. We outline the key stages in producing an effective reference model and detail four approaches for generating reference distributions: permutation, resampling, sampling from a distribution, and generative models. We highlight when each type of approach would be appropriate and note potential pitfalls for researchers to avoid. Throughout, we illustrate our points with examples from a simulated social system. Our aim is to provide social network researchers with a deeper understanding of analytical approaches to enhance their confidence when tailoring reference models to specific research questions.
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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.