Evidence map›Paper›PMID 36809436›Full record

ArticlePrimates; journal of primatology2023

Macaque progressions: passing order during single-file movements reflects the social structure of a wild stump-tailed macaque group.

Aru Toyoda, Tamaki Maruhashi, Suchinda Malaivijitnond, Kazunari Matsudaira, Zin Arai, Ikki Matsuda, Hiroki Koda

Abstract read
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Article in Primates; journal of primatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. 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.

Aru ToyodaChubu University Academy of Emerging Sciences, Kasugai, Aichi, 487-8501, Japan. aru.toyoda@gmail.com.ORCID http://orcid.org/0000-0003-1784-8553
Tamaki MaruhashiMusashi University, Nerima, Tokyo, 176-8534, Japan.
Suchinda MalaivijitnondNational Primate Research Center of Thailand, Chulalongkorn University, Saraburi, 18110, Thailand.
Kazunari MatsudairaGraduate School of Asian and African Area Studies, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, 606-8510, Japan.
Zin AraiChubu University Academy of Emerging Sciences, Kasugai, Aichi, 487-8501, Japan.
Ikki MatsudaChubu University Academy of Emerging Sciences, Kasugai, Aichi, 487-8501, Japan.
Hiroki KodaGraduate School of Arts and Sciences, The University of Tokyo, Komaba, Tokyo, 153-8902, Japan. hkoda@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-0927-3473

Funding

Core Research for Evolutional Science and Technology 17941861Japan Society for the Promotion of Science #16J0098Japan Society for the Promotion of Science #19KK0191Japan Society for the Promotion of Science #22K13802Ministry of Education, Culture, Sports, Science and Technology 17H06380
6 · The paper itself

Abstract

Inferring the latent structures of social organisations is a central theme in animal ecology. Sophisticated theoretical frameworks underpin the study of various primate social systems. Single-file movements, defined as serially ordered patterns of animals, reflect intra-group social relationships and provide a key to understanding social structures. Here, we analysed automated camera-trapping data on the order of progression of single-file movements in a free-ranging group of stump-tailed macaques to estimate the social structure of the group. The sequence of single file movements showed some regularities, particularly for adult males. Social network analysis identified four community clusters (subgroups) corresponding to the social structures reported for these stumptailed macaques, i.e. males that had copulated more frequently with females were spatially clustered with females, but males that had copulated less frequently were spatially isolated from females. Our results suggest that stumptailed macaques move in regular, socially determined patterns that reflect the spatial positions of adult males and are related to the social organisation of the species.

Indexed as

MacacaMacaca arctoidesAnimalsFemaleMaleMovementSocial StructureCamera-trappingCommunity estimationMacaque societySingle-file movementsSocial network analysis

Identifiers

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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.