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August 9, 2026JMIR Formative ResearchOpen Access

Behavioral Characteristics of Medical Students on Social Media Platforms: Topic Modeling and Social Network Analysis

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Authors

YLYongjie LiYFYangshan FuFZFenshuang Zheng

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Overview

Randomized trial analyzes student discussions and concerns on online forums, suggesting persistent issues for support strategies.

Key Points

  • This study investigates the concerns and social networks of medical students on online platforms over seven years.
  • Collected posts and comments from the Peking University bulletin board system from 2017-2023
  • Applied latent Dirichlet allocation for topic modeling and evaluated model performance via cross-validation
  • Used social network analysis to evaluate user interactions and centrality measures.
  • Identified seven major topics with feedback on living facilities being the most discussed at 22.1%.
  • Temporal analysis showed ongoing concerns about living facilities and low-frequency discussions on emotional support.
  • High-volume topics did not correlate with network centrality; current affairs had the highest centrality measures.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a782d4e2e1896536c8404cahttps://doi.org/10.2196/87304
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  4. 4Unpacking College Students' Mental Health Discourse through <scp>YouTube</scp> Comments: Insights from Topic Modeling and Sentiment Analysis2025
  5. 5Construction of Emotional Evolution Map of Online Texts on Medical Student Burnout Integrating BERT and LDA Topic Models2026