Published on in Vol 18, No 3 (2016): March

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

Authors of this article:

Ronghua Xu 1, 2 Author Orcid Image ;   Qingpeng Zhang 1, 2 Author Orcid Image


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  7. Bailey S, Zhang Y, Ramesh A, Golbeck J, Getoor L. A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Transactions on the Web 2021;15(1):1 View
  8. Baptista N, Pinho J, Alves H. Social Marketing and Online Social Support Structure in Contexts of Treatment Uncertainty. Journal of Nonprofit & Public Sector Marketing 2022;34(3):311 View
  9. Yao X, Yu G, Tang J, Zhang J. Extracting depressive symptoms and their associations from an online depression community. Computers in Human Behavior 2021;120:106734 View
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  15. Zhong D, Liu C, Luan C, Li W, Cui J, Shi H, Zhang Q. Mental health problems among healthcare professionals following the workplace violence issue-mediating effect of risk perception. Frontiers in Psychology 2022;13 View
  16. Pan W, Wang X, Zhou W, Hang B, Guo L. Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches. International Journal of Environmental Research and Public Health 2023;20(3):2688 View
  17. Shi J, Khoo Z. Online health community for change: Analysis of self-disclosure and social networks of users with depression. Frontiers in Psychology 2023;14 View
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Books/Policy Documents

  1. Xu R, Zhou J, Zhang Q, Hendler J. Encyclopedia of Social Network Analysis and Mining. View
  2. Xu R, Zhou J, Zhang Q, Hendler J. Encyclopedia of Social Network Analysis and Mining. View
  3. Gui T, Zhang Q, Zhu L, Zhou X, Peng M, Huang X. Chinese Computational Linguistics. View
  4. Anbalagan B. Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. View
  5. Haldorai A, R B, Murugan S, Balakrishnan M. Artificial Intelligence for Sustainable Development. View