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Citing this Article

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Published on 10.03.16 in Vol 18, No 3 (2016): March

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5042):

(note that this is only a small subset of citations)

  1. Moyano AN, Sicilia MA, Barriocanal EG. On the Graph Structure of the Web of Data. International Journal on Semantic Web and Information Systems 2018;14(2):70
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  8. Baptista N, Pinho JC, Alves H. Social Marketing and Online Social Support Structure in Contexts of Treatment Uncertainty. Journal of Nonprofit & Public Sector Marketing 2022;34(3):311
    CrossRef
  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
    CrossRef
  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;46(4):443
    CrossRef
  11. HUANG G, ZHOU X. The linguistic patterns of depressed patients. Advances in Psychological Science 2021;29(5):838
    CrossRef
  12. Ghosh S, Anwar T. Depression Intensity Estimation via Social Media: A Deep Learning Approach. IEEE Transactions on Computational Social Systems 2021;8(6):1465
    CrossRef
  13. Storman D, Jemioło P, Swierz MJ, Sawiec Z, Antonowicz E, Prokop-Dorner A, Gotfryd-Burzyńska M, Bala MM. Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions. JMIR Mental Health 2022;9(12):e36056
    CrossRef
  14. Belz FF, Adair KC, Proulx J, Frankel AS, Sexton JB. The language of healthcare worker emotional exhaustion: A linguistic analysis of longitudinal survey. Frontiers in Psychiatry 2022;13
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  18. Hards E, Orchard F, Reynolds S. ‘I am tired, sad and kind’: self-evaluation and symptoms of depression in adolescents. Child and Adolescent Psychiatry and Mental Health 2023;17(1)
    CrossRef
  19. Lu Y, Wang X, Su L, Zhao H. Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities. Mathematics 2023;11(21):4412
    CrossRef
  20. Shi J, Khoo Z. Words for the hearts: a corpus study of metaphors in online depression communities. Frontiers in Psychology 2023;14
    CrossRef
  21. Humayun MM, Brouillette M, Fellows LK, Mayo NE. The Patient Generated Index (PGI) as an early-warning system for predicting brain health challenges: a prospective cohort study for people living with Human Immunodeficiency Virus (HIV). Quality of Life Research 2023;32(12):3439
    CrossRef
  22. Wang X, Zhao K, Amato MS, Stanton CA, Shuter J, Graham AL. The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS. Annals of Behavioral Medicine 2024;58(2):122
    CrossRef
  23. Li S, Pan W, Yip PSF, Wang J, Zhou W, Zhu T. Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach. Computers in Human Behavior 2024;152:108080
    CrossRef
  24. Wu X, Zhou Y, Zhong B. Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread. Telematics and Informatics 2024;89:102120
    CrossRef
  25. Zhang Z, Li Z, Zhu J, Guo Z, Shi B, Hu B. Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo. Knowledge-Based Systems 2024;293:111650
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5042):

  1. Xu R, Zhou J, Zhang Q, Hendler JA. Encyclopedia of Social Network Analysis and Mining. 2017. Chapter 110215-1:1
    CrossRef
  2. Xu R, Zhou J, Zhang Q, Hendler JA. Encyclopedia of Social Network Analysis and Mining. 2018. Chapter 110215:2239
    CrossRef
  3. Gui T, Zhang Q, Zhu L, Zhou X, Peng M, Huang X. Chinese Computational Linguistics. 2019. Chapter 49:613
    CrossRef
  4. . Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. 2022. Chapter 1:1
    CrossRef