Evidence map›Paper›PMID 42609272›Full record

ArticleFrontiers in sociology2026

Social mobility and class segregation in personal networks over time: evidence from longitudinal data.

Gabriel Otero, Alejandro Plaza, Ignacio Zavala-Aránguiz

Abstract read
In one paragraph

Article in Frontiers in sociology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Gabriel OteroSchool of Sociology, Universidad Diego Portales, Santiago, Chile.
Alejandro PlazaRTG DYNAMICS, Humboldt-Universitat zu Berlin, Berlin, Germany.
Ignacio Zavala-AránguizInstituto de Sociología, Pontificia Universidad Catolica de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines how class-based network homogeneity evolves over time and whether intragenerational social mobility reshapes personal network composition in Chile. Drawing on four waves of longitudinal data from the Chilean Longitudinal Social Survey (ELSOC, 2016-2023), we assess the extent to which class stability and different forms of social mobility-conjunctural, structural, and cumulative-influence the degree of class homogeneity in personal networks. We use the position generator instrument to measure cross-class social ties across 13 occupations, calculating the proportion of ties belonging to respondents' own class. Our findings reveal that class homogeneity remained relatively stable across the period (40-45%), with both upper-middle-class and working-class respondents reporting similarly high proportions of same-class contacts (above 40%). Class-stable individuals consistently exhibit higher network homogeneity than mobile individuals, supporting theoretical expectations regarding cumulative homophily effects. Upwardly mobile individuals generally display lower homogeneity than downwardly mobile individuals in short- and medium-term transitions, although this asymmetry becomes less consistent when cumulative mobility trajectories are considered. Stable lower-middle-class individuals exhibit significantly lower homogeneity than stable working-class or upper-middle-class respondents. Long-term mobility patterns-whether upward, downward, or oscillatory-correspond to more diverse social networks compared to stable class locations, with less consistent differences between mobility directions. These results demonstrate that class boundaries, while permeable through mobility, continue to have a bearing on the structure of social relationships, with class-based network segregation reflecting deeply embedded structural and cultural mechanisms that resist transformation through individual mobility alone.

Indexed as

Chilehomophilyintragenerational mobilityposition generatorsocial class

Identifiers

PMID42609272
PMCPMC13477931

What OpenQuestion holds

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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.