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

Information Seeking, Information Needs (465) Artificial Intelligence (1371) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24618, first published .
Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis

Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis

Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis

Authors of this article:

Yingjie Lu1 Author Orcid Image ;   Shuwen Luo1 Author Orcid Image ;   Xuan Liu2 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Journals

  1. Liu J, Gao L. Are Diverse Media Better than a Single Medium? The Relationship between Mixed Media and Perceived Effect from the Perspective of Online Psychological Counseling. International Journal of Environmental Research and Public Health 2021;18(16):8603 View
  2. Tian X, Wu R. Determining Factors Affecting the Users’ Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support. Frontiers in Psychology 2022;13 View
  3. Guo S, Dang Y, She B, Li Y. Sharing intention of electronic health records in online health communities: Patients’ behavioral decisions in the context of privacy protection measures. Frontiers in Psychology 2022;13 View
  4. Tanhapour M, Safaei A, Shakibian H. Personal health record system based on social network analysis. Multimedia Tools and Applications 2022;81(19):27601 View
  5. Fang F, Wang T, Tan S, Chen S, Zhou T, Zhang W, Guo Q, Liu J, Holme P, Lu X. Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19. Frontiers in Public Health 2022;9 View
  6. Sun H, Fichman P. Evolution of discussion topics on an online depression self-help group. Library Hi Tech 2024;42(4):1347 View
  7. Liu J, Gao L. Lurking or active? The influence of user participation behavior in online mental health communities on the choice and evaluation of doctors. Journal of Affective Disorders 2022;301:454 View
  8. 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
  9. Xiang M, Zhong D, Han M, Lv K. A Study on Online Health Community Users’ Information Demands Based on the BERT-LDA Model. Healthcare 2023;11(15):2142 View
  10. 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 View
  11. Shi J, Khoo Z. Words for the hearts: a corpus study of metaphors in online depression communities. Frontiers in Psychology 2023;14 View
  12. Marshall P, Booth M, Coole M, Fothergill L, Glossop Z, Haines J, Harding A, Johnston R, Jones S, Lodge C, Machin K, Meacock R, Nielson K, Puddephatt J, Rakic T, Rayson P, Robinson H, Rycroft-Malone J, Shryane N, Swithenbank Z, Wise S, Lobban F. Understanding the Impacts of Online Mental Health Peer Support Forums: Realist Synthesis. JMIR Mental Health 2024;11:e55750 View