Evidence map›Paper›PMID 27292778›Full record

ArticleScientific reports2016

Both Nearest Neighbours and Long-term Affiliates Predict Individual Locations During Collective Movement in Wild Baboons.

Damien R Farine, Ariana Strandburg-Peshkin, Tanya Berger-Wolf, Brian Ziebart, Ivan Brugere, Jia Li, Margaret C Crofoot

Open access · goldAbstract 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
12.8field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  5. The relative contribution of acoustic signals versus movement cues in group coordination and collective decision-making.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  6. The use of social information in vulture flight decisions.Proceedings. Biological sciences · 2024
    Article
  7. Article
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  12. Review
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  15. Modular structure within groups causes information loss but can improve decision accuracy.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  16. Article
  17. Article
  18. Inferring the rules of social interaction in migrating caribou.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  19. Discrete modes of social information processing predict individual behavior of fish in a group.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  20. 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

7 authors at 4 institutions in 4 countries.

Damien R FarineDepartment of Anthropology, University of California Davis, 1 Shields Avenue, Davis CA, USA.
Ariana Strandburg-PeshkinDepartment of Ecology and Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, USA.
Tanya Berger-WolfDepartment of Computer Science, University of Illinois at Chicago, 851 South Morgan St, Chicago IL, USA.
Brian ZiebartDepartment of Computer Science, University of Illinois at Chicago, 851 South Morgan St, Chicago IL, USA.
Ivan BrugereDepartment of Computer Science, University of Illinois at Chicago, 851 South Morgan St, Chicago IL, USA.
Jia LiDepartment of Computer Science, University of Illinois at Chicago, 851 South Morgan St, Chicago IL, USA.
Margaret C CrofootDepartment of Anthropology, University of California Davis, 1 Shields Avenue, Davis CA, USA.
University of Illinois Chicago · USPrinceton University · USSmithsonian Tropical Research Institute · PAUniversity of Konstanz · DE

Funding

Quantitavie and Computational Biology Graduate ProgramT32HG003284 · NHGRI · PRINCETON UNIVERSITY · PI Joshua Michael Akey, Stanislav Y. Shvartsman · 2004 to 2026
$9.9M
Biotechnology and Biological Sciences Research Council BB/L006081/1NHGRI NIH HHS T32 HG003284
6 · The paper itself

Abstract

In many animal societies, groups of individuals form stable social units that are shaped by well-delineated dominance hierarchies and a range of affiliative relationships. How do socially complex groups maintain cohesion and achieve collective movement? Using high-resolution GPS tracking of members of a wild baboon troop, we test whether collective movement in stable social groups is governed by interactions among local neighbours (commonly found in groups with largely anonymous memberships), social affiliates, and/or by individuals paying attention to global group structure. We construct candidate movement prediction models and evaluate their ability to predict the future trajectory of focal individuals. We find that baboon movements are best predicted by 4 to 6 neighbours. While these are generally individuals' nearest neighbours, we find that baboons have distinct preferences for particular neighbours, and that these social affiliates best predict individual location at longer time scales (>10 minutes). Our results support existing theoretical and empirical studies highlighting the importance of local rules in driving collective outcomes, such as collective departures, in primates. We extend previous studies by elucidating the rules that maintain cohesion in baboons 'on the move', as well as the different temporal scales of social interactions that are at play.

Indexed as

Social BehaviorAnimalsBehavior, AnimalFemaleGeographic Information SystemsMaleMovementPapioSocial Dominance

Identifiers

PMID27292778
PMCPMC4904494
OpenAlexW2427314827

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.