The Impact of Social Network Types and Social Media Use on Subjective Well-being Among Chinese Men: A Cluster Analysis and Hierarchical Regression Based on CFPS Data
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Keywords

Social network types
Subjective well-being
Chinese men
Hierarchical regression
K-means cluster analysis

How to Cite

wang, siyuan. (2025). The Impact of Social Network Types and Social Media Use on Subjective Well-being Among Chinese Men: A Cluster Analysis and Hierarchical Regression Based on CFPS Data. International Theory and Practice in Humanities and Social Sciences, 2(4), 576–589. https://doi.org/10.70693/itphss.v2i4.468
Received 2025-02-25
Accepted 2025-03-01
Published 2025-04-30

Abstract

China is undergoing rapid social transformation, with men facing significant pressures and challenges, particularly in terms of careers, family responsibilities, and social competition. The conflict between traditional gender roles and modern societal demands may profoundly affect men's subjective well-being. This study, based on data from the China Family Panel Studies (CFPS), constructs a research model incorporating six variables to explore the impact of different types of social networks (family-centered, neighbor-centered, and diverse networks) and social media use on men's subjective well-being. Through K-means cluster analysis and hierarchical regression, the study finds that family-centered social networks significantly positively influence men's subjective well-being, while neighbor-centered networks show no significant effect, reflecting the family-centric cultural characteristics of Chinese society. Social media use also positively affects subjective well-being, highlighting its role in expanding social connections and enhancing social support in the digital era. This research enriches the application of social support theory and digital social capital theory in non-Western contexts and provides new evidence for understanding the importance of family-centered social networks.  

https://doi.org/10.70693/itphss.v2i4.468
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Copyright (c) 2025 siyuan wang (Author)

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