Published on in Vol 18, No 8 (2016): August

A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation

A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation

A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation

Journals

  1. 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
  2. Zhao K, Zuo Z, Blackhurst J. Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach. Journal of Operations Management 2019;65(2):190 View
  3. Chien T, Chang Y, Wang H. Understanding the productive author who published papers in medicine using National Health Insurance Database. Medicine 2018;97(8):e9967 View
  4. Joglekar S, Sastry N, Coulson N, Taylor S, Patel A, Duschinsky R, Anand A, Jameson Evans M, Griffiths C, Sheikh A, Panzarasa P, De Simoni A. How Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities. Journal of Medical Internet Research 2018;20(7):e238 View
  5. Cohn A, Amato M, Zhao K, Wang X, Cha S, Pearson J, Papandonatos G, Graham A. Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality. Alcoholism: Clinical and Experimental Research 2019;43(1):108 View
  6. Bigsby K, Ohlmann J, Zhao K. The turf is always greener: Predicting decommitments in college football recruiting using Twitter data. Decision Support Systems 2019;116:1 View
  7. Graham A, Zhao K, Papandonatos G, Erar B, Wang X, Amato M, Cha S, Cohn A, Pearson J, Amblard F. A prospective examination of online social network dynamics and smoking cessation. PLOS ONE 2017;12(8):e0183655 View
  8. Zhang R, Fu J. Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature. Health Communication 2020:1 View
  9. Chien T, Chow J, Chang Y, Chou W. Applying Gini coefficient to evaluate the author research domains associated with the ordering of author names. Medicine 2018;97(39):e12418 View
  10. 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
  11. Graham A, Papandonatos G, Zhao K. The failure to increase social support: it just might be time to stop intervening (and start rigorously observing). Translational Behavioral Medicine 2017;7(4):816 View
  12. Amato M, Papandonatos G, Cha S, Wang X, Zhao K, Cohn A, Pearson J, Graham A. Inferring Smoking Status from User Generated Content in an Online Cessation Community. Nicotine & Tobacco Research 2019;21(2):205 View
  13. Wang X, Zhao K, Cha S, Amato M, Cohn A, Pearson J, Papandonatos G, Graham A. Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems 2019;116:26 View
  14. Bigsby K, Ohlmann J, Zhao K. Online and Off the Field: Predicting School Choice in College Football Recruiting from Social Media Data. Decision Analysis 2017;14(4):261 View
  15. Baptista N, Pinho J, Alves H. Examining social capital and online social support links: a study in online health communities facing treatment uncertainty. International Review on Public and Nonprofit Marketing 2021;18(1):57 View
  16. Shelton R, Lee M, Brotzman L, Crookes D, Jandorf L, Erwin D, Gage-Bouchard E. Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review. Social Science & Medicine 2019;220:81 View
  17. Pearson J, Amato M, Papandonatos G, Zhao K, Erar B, Wang X, Cha S, Cohn A, Graham A. Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use. Addictive Behaviors 2018;87:39 View
  18. Zhao D, Zhang Q, Ma F. Communication that changes lives: an exploratory research on a Chinese online hypertension community. Library Hi Tech 2020;38(4):883 View
  19. Rains S. Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory. Health Communication 2020;35(1):26 View
  20. Wang X, Chai Y, Li H, Wu D. Link prediction in heterogeneous information networks: An improved deep graph convolution approach. Decision Support Systems 2021;141:113448 View
  21. 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
  22. Wang X, High A, Wang X, Zhao K. Predicting users' continued engagement in online health communities from the quantity and quality of received support. Journal of the Association for Information Science and Technology 2021;72(6):710 View
  23. Graham A. Engaging People in Tobacco Prevention and Cessation: Reflecting Back Over 20 Years Since the Master Settlement Agreement. Annals of Behavioral Medicine 2020;54(12):932 View
  24. 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
  25. Shah A, Yan X, Qayyum A. Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status. Healthcare Informatics Research 2021;27(2):116 View
  26. Shang J, Wu Y, Huo B, Chen L, Wang E, Sui Y, Chen W, Tian C, Chen W, Sui X. Potential of Bradyrhizobia inoculation to promote peanut growth and beneficial Rhizobacteria abundance. Journal of Applied Microbiology 2021 View
  27. Petkovic J, Duench S, Trawin J, Dewidar O, Pardo Pardo J, Simeon R, DesMeules M, Gagnon D, Hatcher Roberts J, Hossain A, Pottie K, Rader T, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database of Systematic Reviews 2021;2021(6) View
  28. Dreyfus B, Chaudhary A, Bhardwaj P, Shree V. Application of natural language processing techniques to identify off-label drug usage from various online health communities. Journal of the American Medical Informatics Association 2021 View
  29. Boodaghian Asl A, Raghothama J, Darwich A, Meijer S. USING PAGERANK AND SOCIAL NETWORK ANALYSIS TO SPECIFY MENTAL HEALTH FACTORS. Proceedings of the Design Society 2021;1:3379 View
  30. Lei Y, Xu S, Zhou L. User Behaviors and User-Generated Content in Chinese Online Health Communities:A Comparative Study (Preprint). Journal of Medical Internet Research 2021 View