Evidence map›Paper›PMID 24465200›Full record

ArticlePLoS computational biology2014

Leadership and path characteristics during walks are linked to dominance order and individual traits in dogs.

Zsuzsa Ákos, Róbert Beck, Máté Nagy, Tamás Vicsek, Enikő Kubinyi

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Rank-Related Differences in Dogs' Behaviours in Frustrating Situations.Animals : an open access journal from MDPI · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Inferring social influence in animal groups across multiple timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  9. Article
  10. Article
  11. The Indispensable Dog.Frontiers in psychology · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Inferring influence and leadership in moving animal groups.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  17. Challenges and solutions for studying collective animal behaviour in the wild.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  18. Article
  19. Article
  20. 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
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

5 authors.

Zsuzsa ÁkosDepartment of Biological Physics, Eötvös University, Budapest, Hungary.
Róbert BeckDepartment of Biological Physics, Eötvös University, Budapest, Hungary.
Máté NagyDepartment of Biological Physics, Eötvös University, Budapest, Hungary ; Statistical and Biological Physics Research Group of the Hungarian Academy of Sciences, Budapest, Hungary ; Department of Zoology, University of Oxford, Oxford, United Kingdom.
Tamás VicsekDepartment of Biological Physics, Eötvös University, Budapest, Hungary ; Statistical and Biological Physics Research Group of the Hungarian Academy of Sciences, Budapest, Hungary.
Enikő KubinyiStatistical and Biological Physics Research Group of the Hungarian Academy of Sciences, Budapest, Hungary ; MTA-ELTE Comparative Ethological Research Group, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement interactions and the underlying social structure in groups have relevance across many social-living species. Collective motion of groups could be based on an "egalitarian" decision system, but in practice it is often influenced by underlying social network structures and by individual characteristics. We investigated whether dominance rank and personality traits are linked to leader and follower roles during joint motion of family dogs. We obtained high-resolution spatio-temporal GPS trajectory data (823,148 data points) from six dogs belonging to the same household and their owner during 14 30-40 min unleashed walks. We identified several features of the dogs' paths (e.g., running speed or distance from the owner) which are characteristic of a given dog. A directional correlation analysis quantifies interactions between pairs of dogs that run loops jointly. We found that dogs play the role of the leader about 50-85% of the time, i.e. the leader and follower roles in a given pair are dynamically interchangable. However, on a longer timescale tendencies to lead differ consistently. The network constructed from these loose leader-follower relations is hierarchical, and the dogs' positions in the network correlates with the age, dominance rank, trainability, controllability, and aggression measures derived from personality questionnaires. We demonstrated the possibility of determining dominance rank and personality traits of an individual based only on its logged movement data. The collective motion of dogs is influenced by underlying social network structures and by characteristics such as personality differences. Our findings could pave the way for automated animal personality and human social interaction measurements.

Indexed as

Behavior, AnimalSocial DominanceAggressionAnimalsDogsGeography

Identifiers

PMID24465200
PMCPMC3900374

What OpenQuestion holds

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LicenceCC BY
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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.