Evidence map›Paper›PMID 27881803›Full record

ArticleJournal of the Royal Society, Interface2016

Inferring animal social networks and leadership: applications for passive monitoring arrays.

David M P Jacoby, Yannis P Papastamatiou, Robin Freeman

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. From biologging to conservation: Tracking individual performance in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
  6. Social networks and the conservation of fish.Communications biology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

3 authors.

David M P JacobyInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK david.jacoby@ioz.ac.uk.ORCID 0000-0003-2729-3811
Yannis P PapastamatiouDepartment of Biological Sciences, Florida International University, 3000 N.E. 151st Street, North Miami, FL 33181, USA.
Robin FreemanInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyses of animal social networks have frequently benefited from techniques derived from other disciplines. Recently, machine learning algorithms have been adopted to infer social associations from time-series data gathered using remote, telemetry systems situated at provisioning sites. We adapt and modify existing inference methods to reveal the underlying social structure of wide-ranging marine predators moving through spatial arrays of passive acoustic receivers. From six months of tracking data for grey reef sharks (Carcharhinus amblyrhynchos) at Palmyra atoll in the Pacific Ocean, we demonstrate that some individuals emerge as leaders within the population and that this behavioural coordination is predicted by both sex and the duration of co-occurrences between conspecifics. In doing so, we provide the first evidence of long-term, spatially extensive social processes in wild sharks. To achieve these results, we interrogate simulated and real tracking data with the explicit purpose of drawing attention to the key considerations in the use and interpretation of inference methods and their impact on resultant social structure. We provide a modified translation of the GMMEvents method for R, including new analyses quantifying the directionality and duration of social events with the aim of encouraging the careful use of these methods more widely in less tractable social animal systems but where passive telemetry is already widespread.

Indexed as

Social BehaviorAnimalsBehavior, AnimalPacific OceanSharksanimal trackingBayesian inferenceshark socialitysocial structuretelemetry

Identifiers

PMID27881803
PMCPMC5134018

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LicenceCC BY
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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.