Evidence map›Paper›PMID 41088432›Full record

ArticleBMC psychology2025

Bridging "isolated islands": heterogeneous social networks facilitate the social integration of Chinese migrant workers.

Hanrui Wang, Noshaba Aziz, Qingjun Zhao

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Hanrui WangCollege of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Noshaba AzizSchool of Economics, Shandong University of Technology, Zibo, Shandong, 255000, China.
Qingjun ZhaoCollege of Economics and Management, Huzhou College, Huzhou, Zhejiang, 313000, China. zhaoqj9@163.com.

Funding

Huzhou City 2024 Philosophy and Social Science Planning Project 24hzghy165
6 · The paper itself

Abstract

backgroundChina's migrant workers have long resided in the city's "isolated islands", facing challenges in fully integrating into urban life. This study investigates the impact of social networks on the social integration of migrant workers, focusing on the role of diverse social networks in enhancing integration.

methodsUsing 2018 CLDS data, the study empirically analyzes the relationship between social networks and migrant workers' social integration, employing endogeneity treatment, robustness testing, and Heterogeneity analysis with a 2SLS model.

resultsThe results show that social networks significantly influence migrant workers' social integration, particularly through increased participation in social organizations and activities. Moreover, diverse social networks improve social integration by enhancing social trust levels, with effects varying across age, education, living environment, and migration type.

conclusionsThese findings deepen our understanding of social integration processes and offer insights for policy interventions to promote inclusive urbanization. By emphasizing the importance of diverse social networks in fostering social participation, this study underscores the need to enhance interpersonal relationships to facilitate migrant workers' integration into urban communities. To enhance migrant workers' social integration, it is essential to enhance the institutional environment, promote communication between migrant workers and urban residents, and foster a culture of trust in contemporary society.

Indexed as

Social IntegrationSocial NetworkingSocial SupportTransients and MigrantsAdultChinaEast Asian PeopleFemaleHumansInterpersonal RelationsMaleMiddle AgedTrustYoung AdultHeterogeneity social networkMigrant workersSocial integrationSocial trust

Identifiers

PMID41088432
PMCPMC12522228

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LicenceCC BY-NC-ND
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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.