Evidence map›Paper›PMID 27465971›Full record

ArticleScientific reports2016

Swarm dynamics may give rise to Lévy flights.

Andrew M Reynolds, Nicholas T Ouellette

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Fluctuating landscapes and heavy tails in animal behavior.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. Random walk and cell morphology dynamics inFrontiers in cell and developmental biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Scale-free movement patterns in termites emerge from social interactions and preferential attachments.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. On the emergence of gravitational-like forces in insect swarms.Journal of the Royal Society, Interface · 2019
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. The evolutionary origins of Lévy walk foraging.PLoS computational biology · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Andrew M ReynoldsRothamsted Research, Harpenden, AL5 2JQ, United Kingdom.
Nicholas T OuelletteDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA.

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

"Continuous-time correlated random walks" are now gaining traction as models of scale-finite animal movement patterns because they overcome inherent shortcomings with the prevailing paradigm - discrete random walk models. Continuous-time correlated random walk models are founded on the classic Langevin equation that is driven by purely additive noise. The Langevin equation is, however, changed fundamentally by the smallest of multiplicative noises. The inclusion of such noises gives rise to Lévy flights, a popular but controversial model of scale-free movement patterns. Multiplicative noises have not featured prominently in the literature on biological Lévy flights, being seen, perhaps, as no more than a mathematical contrivance. Here we show how Langevin equations driven by multiplicative noises and incumbent Lévy flights arise naturally in the modelling of swarms. Model predictions find some support in three-dimensional, time-resolved measurements of the positions of individual insects in laboratory swarms of the midge Chironomus riparius. We hereby provide a new window on Lévy flights as models of movement pattern data, linking patterns to generative processes.

Identifiers

PMID27465971
PMCPMC4964348

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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.