ArticleInterface focus2012
The modelling cycle for collective animal behaviour.
Article in Interface focus, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Dwell Time Outperforms Social and Chemical Predictors of Behavioural Transitions in Ants.Entropy (Basel, Switzerland) · 2026Article
- Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025Review
- Sensory collectives in natural systems.eLife · 2023Review
- Article
- The visual coupling between neighbours explains local interactions underlying human 'flocking'.Proceedings. Biological sciences · 2022Article
- Coordinating directional switches in pigeon flocks: the role of nonlinear interactions.Royal Society open science · 2021Article
- Optimal use of simplified social information in sequential decision-making.Journal of the Royal Society, Interface · 2021Article
- Body language signals for rodent social communication.Current opinion in neurobiology · 2021Review
- An equation of state for insect swarms.Scientific reports · 2021Article
- Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match.Sensors (Basel, Switzerland) · 2020Article
- How Approaches to Animal Swarm Intelligence Can Improve the Study of Collective Intelligence in Human Teams.Journal of Intelligence · 2020Review
- Collective Motion in Human Crowds.Current directions in psychological science · 2018Article
- Using activity and sociability to characterize collective motion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- Local interactions underlying collective motion in human crowds.Proceedings. Biological sciences · 2018Article
- Article
- Entangled time in flocking: Multi-time-scale interaction reveals emergence of inherent noise.PloS one · 2018Article
- Metrics for describing dyadic movement: a review.Movement ecology · 2018Review
- Individual-level movement bias leads to the formation of higher-order social structure in a mobile group of baboons.Royal Society open science · 2017Article
- Quantifying and Modeling Coordination and Coherence in Pedestrian Groups.Frontiers in psychology · 2017Article
- A model for collective dynamics in ant raids.Journal of mathematical biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Collective animal behaviour is the study of how interactions between individuals produce group level patterns, and why these interactions have evolved. This study has proved itself uniquely interdisciplinary, involving physicists, mathematicians, engineers as well as biologists. Almost all experimental work in this area is related directly or indirectly to mathematical models, with regular movement back and forth between models, experimental data and statistical fitting. In this paper, we describe how the modelling cycle works in the study of collective animal behaviour. We classify studies as addressing questions at different levels or linking different levels, i.e. as local, local to global, global to local or global. We also describe three distinct approaches-theory-driven, data-driven and model selection-to these questions. We show, with reference to our own research on species across different taxa, how we move between these different levels of description and how these various approaches can be applied to link levels together.
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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.