ArticleJournal of the Royal Society, Interface2018
Langevin dynamics encapsulate the microscopic and emergent macroscopic properties of midge swarms.
Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Topological interactions account for border dynamics of murmurations and transit flocks.Journal of the Royal Society, Interface · 2025Article
- Swarming Insects May Have Finely Tuned Characteristic Reynolds Numbers.Biomimetics (Basel, Switzerland) · 2024Article
- A rigorous and versatile statistical test for correlations between stationary time series.PLoS biology · 2024Article
- Stochastic modelling of bird flocks: accounting for the cohesiveness of collective motion.Journal of the Royal Society, Interface · 2022Article
- Understanding the thermodynamic properties of insect swarms.Scientific reports · 2021Article
- Intrinsic stochasticity and the emergence of collective behaviours in insect swarms.The European physical journal. E, Soft matter · 2021Article
- Insect swarms can be bound together by repulsive forces.The European physical journal. E, Soft matter · 2020Article
- Environmental perturbations induce correlations in midge swarms.Journal of the Royal Society, Interface · 2020Article
- On the emergence of gravitational-like forces in insect swarms.Journal of the Royal Society, Interface · 2019Article
- Mechanical spectroscopy of insect swarms.Science advances · 2019Article
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1 author.
Funding
Abstract
In contrast to bird flocks, fish schools and animal herds, midge swarms maintain cohesion but do not possess global order. High-speed imaging techniques are now revealing that these swarms have surprising properties. Here, I show that simple models found on the Langevin equation are consistent with this wealth of recent observations. The models predict correctly that large accelerations, exceeding 10 g, will be common and they predict correctly the coexistence of core condensed phases surrounded by dilute vapour phases. The models also provide new insights into the influence of environmental conditions on swarm dynamics. They predict that correlations between midges increase the strength of the effective force binding the swarm together. This may explain why such correlations are absent in laboratory swarms but present in natural swarms which contend with the wind and other disturbances. Finally, the models predict that swarms have fluid-like macroscopic mechanical properties and will slosh rather than slide back and forth after being abruptly displaced. This prediction offers a promising avenue for future experimentation that goes beyond current quasi-static testing which has revealed solid-like responses.
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