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

Journals

  1. Moyano A, Sicilia M, Barriocanal E. On the Graph Structure of the Web of Data. International Journal on Semantic Web and Information Systems 2018;14(2):70 View
  2. Moessner M, Feldhege J, Wolf M, Bauer S. Analyzing big data in social media: Text and network analyses of an eating disorder forum. International Journal of Eating Disorders 2018;51(7):656 View
  3. Yao X, Yu G, Tian X, Tang J. Patterns and Longitudinal Changes in Negative Emotions of People with Depression on Sina Weibo. Telemedicine and e-Health 2020;26(6):734 View
  4. Li Y, Cai M, Qin S, Lu X. Depressive Emotion Detection and Behavior Analysis of Men Who Have Sex With Men via Social Media. Frontiers in Psychiatry 2020;11 View
  5. Shrestha A, Serra E, Spezzano F. Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1) View
  6. Wang X, Zhao K, Zhou X, Street N. Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Transactions on Management Information Systems 2020;11(3):1 View
  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 2020:1 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
  10. Ramamoorthy T, Karmegam D, Mappillairaju B. Use of social media data for disease based social network analysis and network modeling: A Systematic Review. Informatics for Health and Social Care 2021:1 View
  11. HUANG G, ZHOU X. The linguistic patterns of depressed patients. Advances in Psychological Science 2021;29(5):838 View

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