Evidence map›Paper›PMID 30478794›Full record

ArticlePrimates; journal of primatology2019

Social networks predict immigration success in wild Japanese macaques.

Tatsuro Kawazoe, Sebastian Sosa

Abstract read
PubMed Publisher
In one paragraph

Article in Primates; journal of primatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

2 authors.

Tatsuro KawazoeSchool of Sociology and Anthropology, Sun Yat-sen University, No. 135, XingangXi Road, Haizhu District, Guangzhou, Guangdong, 510275, People's Republic of China. tatsuro.kawazoe@gmail.com.ORCID http://orcid.org/0000-0002-5138-0547
Sebastian SosaSchool of Sociology and Anthropology, Sun Yat-sen University, No. 135, XingangXi Road, Haizhu District, Guangzhou, Guangdong, 510275, People's Republic of China.ORCID http://orcid.org/0000-0002-5087-9135

Funding

Japan Society for the Promotion of Science 23370099Primate Research Institute, Kyoto University H20-F30Primate Research Institute, Kyoto University H21-B23
6 · The paper itself

Abstract

Male migration is common in mammals and comes with associated benefits and costs. Male-male affiliative relationships are behavioural strategies that migrating males can adopt in order to maximise benefits and minimize costs. While we know that such strategies primarily serve to reduce tension, little is known about how they actually affect male immigration success. We investigated the influence of male-male affiliative relationships on immigration success in a group of wild Japanese macaques (Macaca fuscata). We used social network analysis to examine the distribution of male-male affiliative interactions and their association with immigration success. We found that visiting males with high eigenvector centralities and low weighted degree centralities were more likely to be integrated into the group. Other factors such as season, age-class, and dominance rank amongst visiting males did not affect male integration success. Our results suggest that strong male affiliative bonds and a centralized position within the male-male grooming network can predict future integration success of visiting males into a social group through promoting higher tolerance of resident males and reducing aggression risks.

Indexed as

Animal DistributionSocial NetworkingAge FactorsAggressionAnimalsAnimals, WildGroomingJapanMacacaMaleSeasonsSex FactorsSocial BehaviorSocial DominanceAffiliationGroomingImmigrationMale Japanese macaquesNetwork analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.