Evidence map›Paper›PMID 38862863›Full record

ArticleArchives of sexual behavior2024

Exploring Within-Gender Differences in Friendships Using an Online Social Network.

Pietro Pollo, Tania A Reynolds, Khandis R Blake, Michael M Kasumovic

Erratum issuedAbstract read
In one paragraph

Article in Archives of sexual behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Pietro PolloEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, 5 Floor, Building E26, Kensington, NSW, 2052, Australia. pietro_pollo@hotmail.com.ORCID 0000-0001-6555-5400
Tania A ReynoldsDepartment of Psychology, University of New Mexico, Albuquerque, NM, USA.
Khandis R BlakeMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Michael M KasumovicEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, 5 Floor, Building E26, Kensington, NSW, 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People tend to befriend others similar to themselves, generating a pattern called homophily. However, existing studies on friendship patterns often rely on surveys that assess the perspective of relatively few participants on their friendships but do not measure actualized friendship patterns. Here, we used data from a large Slovakian online social network to assess the role of gender, age, and body mass index (BMI) in same-gender online connections among more than 400,000 users. We found that age and BMI homophily occurred in both men's and women's same-gender connections, but somewhat more strongly among men's. Yet, as women diverged in BMI, their connections were less likely to be reciprocated. We discuss how the evolutionary legacy of men's coalitional competition (e.g., warfare) and women's mating competition or recruitment of allocare providers might contribute to these patterns in modern same-gender relationships. For example, men's engagement in physical activities may lead to similar formidability levels among their same-gender peers. Altogether, our findings highlight the importance of trait similarity to same-gender friendship patterns.

Indexed as

FriendsAdolescentAdultAge FactorsBody Mass IndexFemaleHumansInterpersonal RelationsMaleMiddle AgedOnline Social NetworkingSex FactorsSlovakiaSocial NetworkingYoung AdultBody imageEvolutionary psychologyFemale competitionFriendship preferenceIntra-gender competitionMating rivalry

Identifiers

PMID38862863
PMCPMC11335865

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.