Evidence map›Paper›PMID 29161269›Full record

ArticlePLoS computational biology2017

Identifying influential neighbors in animal flocking.

Li Jiang, Luca Giuggioli, Andrea Perna, Ramón Escobedo, Valentin Lecheval, Clément Sire, Zhangang Han, Guy Theraulaz

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

34 citing papers in PubMed.

  1. Article
  2. From Lévy walks to Brownian motion in schools of zebrafish (Danio rerio).The European physical journal. E, Soft matter · 2026
    Article
  3. Article
  4. Article
  5. Identification of neural crest and melanoma cancer cell invasion and migration genes using high-throughput screening and deep attention networks.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Selective social interactions and speed-induced leadership in schooling fish.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Li JiangSchool of Systems Science, Beijing Normal University, Beijing, China.
Luca GiuggioliBristol Centre for Complexity Sciences, Department of Engineering Mathematics and School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Andrea PernaLife Sciences, Roehampton University, London, United Kingdom.ORCID http://orcid.org/0000-0001-8985-3920
Ramón EscobedoCentre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Toulouse, France.
Valentin LechevalCentre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Toulouse, France.ORCID http://orcid.org/0000-0001-6041-2718
Clément SireLaboratoire de Physique Théorique, CNRS & Université de Toulouse (UPS), Toulouse, France.
Zhangang HanSchool of Systems Science, Beijing Normal University, Beijing, China.
Guy TheraulazCentre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Toulouse, France.ORCID http://orcid.org/0000-0002-3062-4215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schools of fish and flocks of birds can move together in synchrony and decide on new directions of movement in a seamless way. This is possible because group members constantly share directional information with their neighbors. Although detecting the directionality of other group members is known to be important to maintain cohesion, it is not clear how many neighbors each individual can simultaneously track and pay attention to, and what the spatial distribution of these influential neighbors is. Here, we address these questions on shoals of Hemigrammus rhodostomus, a species of fish exhibiting strong schooling behavior. We adopt a data-driven analysis technique based on the study of short-term directional correlations to identify which neighbors have the strongest influence over the participation of an individual in a collective U-turn event. We find that fish mainly react to one or two neighbors at a time. Moreover, we find no correlation between the distance rank of a neighbor and its likelihood to be influential. We interpret our results in terms of fish allocating sequential and selective attention to their neighbors.

Indexed as

Behavior, AnimalAlgorithmsAnimalsBirdsComputational BiologyComputer SimulationFishesModels, BiologicalMovementSoftwareSwimmingTemperature

Identifiers

PMID29161269
PMCPMC5697824

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.