Knowledge Discovery of Online Health Communities with Weighted Knowledge Network
Juhua Wu1,Yu Wang1,Ming Li2(),Shaoyun Cai1
1School of Management, Guangdong University of Technology, Guangzhou 510520, China 2The Hospital of Guangdong University of Technology, Guangzhou 510006, China
[Objective] This paper integrates knowledge from fragmented user message, aiming to identify the needs of online health communities with information extraction and popular topic analysis techniques. [Methods] First, we used the Octopus Collector to retrieve posts from the BHC Forum of 39 Health Net. Then, we applied the weighted knowledge network model to explore the data. Finally, with the help of ICTCLAS 2013, BibExcel and Ucinet packages, we conducted word segmentation, obtained word frequencies, as well as filtered and, visualized the data. [Results] We constructed a user knowledge network and sub-networks for knowledge exchanges, user’s attention and the most popular topics. Combining word frequency and attention identified topics and relationship among them. [Limitations] More research is needed to examine the changing topics of different online health communities, replying posts, and time spans. [Conclusions] This study addresses issues facing the fragmented knowledge, and users’ information needs. It supports website knowledge management and medical diagnosis.
Faraj S, Krogh G V, Monteiro E, et al.Special Section Introduction——Online Community as Space for Knowledge Flows[J]. Information Systems Research, 2016, 27(4): 668-684.
[2]
Goh J M, Gao G, Agarwal R.The Creation of Social Value: Can an Online Health Community Reduce Rural-Urban Health Disparities?[J]. MIS Quarterly, 2016, 40(1): 247-263.
[3]
Margolis R, Derr L, Dunn M, et al.The National Institutes of Health’s Big Data to Knowledge (BD2K) Initiative: Capitalizing on Biomedical Big Data[J]. Journal of the American Medical Informatics Association, 2014, 21(6): 957-958.
[4]
Gooden R J, Winefield H R.Breast and Prostate Cancer Online Discussion Boards: A Thematic Analysis of Gender Differences and Similarities[J]. Journal of Health Psychology, 2007, 12(1): 103-114.
[5]
Lin M J, Hung S W, Chen C J.Fostering the Determinants of Knowledge Sharing in Professional Virtual Communities[J]. Computers in Human Behavior, 2009, 25(4): 929-939.
[6]
Faraj S, Jarvenpaa S L, Majchrzak A.Knowledge Collaboration in Online Communities[J]. Organization Science, 2011, 22(5): 1224-1239.
[7]
Lee S T, Lin J.A Self-Determination Perspective on Online Health Information Seeking: The Internet vs. Face-to-face Office Visits with Physicians[J]. Journal of Health Communication, 2016, 21(6): 714-722.
[8]
Wu B, Jiang S, Chen H.Effects of Individuals’ Motivations on Communications in Online Health Forums[J]. Social Behavior and Personality: An International Journal, 2016, 44(2): 299-312.
(Han Jingti, Fan Weiguo, Luo Xiaolan, et al.Research Progress on the Effect of User Health Information Search on Health Behavior[J]. Information and Documentation Services, 2018(2): 48-55.)
(Li Chongyang, Zhai Shanshan, Zheng Lu.Measurement of Information Demand Characteristics in Online Health Community: An Empirical Analysis Based on Time and Theme Perspective[J]. Digital Library Forum, 2016(9): 34-42.)
[11]
Petrič G, Atanasova S, Kamin T.Ill Literates or Illiterates? Investigating the eHealth Literacy of Users of Online Health Communities[J]. Journal of Medical Internet Research, 2017, 19(10): e331.
(Deng Shengli, Fu Shaoxiong, Chen Xiaoyu.The Role of Information Media on User Health Information Seeking——Based on Health Literacy and Information Retrieval Capability Perspectives[J]. Information Science, 2017, 35(4): 126-132.)
[13]
Zhou J.Factors Influencing People’s Personal Information Disclosure Behaviors in Online Health Communities: A Pilot Study[J]. Asia Pacific Journal of Public Health, 2018, 30(3): 286-295.
(Wang Yuchao.Research on the Influencing Factors of Users’ Health Information Disclosure Intention in Online Medical Community[J]. Journal of Information Resources Management, 2018, 8(1): 93-103, 113.)
[15]
Jucks R, Thon F M.Better to Have Many Opinions than One from an Expert? Social Validation by One Trustworthy Source Versus the Masses in Online Health Forums[J]. Computers in Human Behavior, 2017, 70: 375-381.
(Zhang Xing, Xia Huosong, Chen Xing, et al.A Study of Factors Affecting the Information Credibility of Online Health Communities from an Elaboration Likelihood Model Perspective[J]. Library and Information Service, 2015, 59(22): 88-96.)
[17]
Atanasova S, Kamin T, Petrič G.The Benefits and Challenges of Online Professional-patient Interaction: Comparing Views Between Users and Health Professional Moderators in an Online Health Community[J]. Computers in Human Behavior, 2018, 83: 106-118.
(Wu Jiang, Li Shanshan, Zhou Lusha, et al.Research on Dynamic Evolution of Users’ Relationship Network in Online Health Community Based on Stochastic Actor-oriented Model[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36(2): 213-220.)
[19]
Willis E, Royne M B.Online Health Communities and Chronic Disease Self-Management[J]. Health Communication, 2017, 32(3): 269-278.
[20]
Wang X, Zhao K, Street N.Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective[J]. Journal of Medical Internet Research, 2017, 19(4): e130.
(Zhai Yujia, Zhang Xin, Wang Fang.User Engagement in Online Health Communities——Taking Baidu Quitting Smoking Post Bar as an Example[J]. Library and Information Service, 2017, 61(7): 75-82.)
[22]
Fan H, Lederman R.Online Health Communities: How do Community Members Build the Trust Required to Adopt Information and Form Close Relationships?[J]. European Journal of Information Systems, 2018, 27(1): 62-89.
(Zhang Liyi, Li Huiran.Studying Social Interaction of Online Medical Question-Answering Service[J]. Data Analysis and Knowledge Discovery, 2018, 2(1): 76-87.)
(Zhang Xing, Chen Xing, Xia Huosong, et al.A Study on Factors Affecting Online Health Communities Members’ Loyalty from a Perspective of IS Success and Social Support[J]. Information Science, 2016, 34(3): 133-138, 160.)
[25]
Mou J, Shin D H, Cohen J F.Tracing College Students’ Acceptance of Online Health Services[J]. International Journal of Human-Computer Interaction, 2017, 33(5): 371-384.
(Wu Jiang, Li Shanshan.The Research on Users’ Willingness to Use Information Service in the Online Health Community[J]. Information Science, 2017, 35(4): 119-125.)
[27]
Roland D, Spurr J, Cabrera D.Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics[J]. Journal of Medical Internet Research, 2017, 19(7): e252.
[28]
马骋宇. 在线医疗社区发展现状浅析[J]. 中国医院管理, 2018, 38(5): 58-60.
[28]
(Ma Chengyu.Research on the Development of Online Health Communities in China[J]. Chinese Hospital Management, 2018, 38(5): 58-60.)
(Chen Yangsen, Chen Jun.Analysis of Domestic and Foreign Research Hotspots on Social Media Based on Keywords Co-occurrence Analysis and Social Network Analysis[J]. Journal of Information Resources Management, 2017, 7(3): 45-55.)
[30]
Liou D K, Chih W H, Yuan C Y, et al.The Study of the Antecedents of Knowledge Sharing Behavior: The Empirical Study of Yambol Online Test Community[J]. Internet Research, 2016, 26(4): 845-868.
[31]
Yan Z, Wang T, Chen Y, et al.Knowledge Sharing in Online Health Communities: A Social Exchange Theory Perspective[J]. Information & Management, 2016, 53(5): 643-653.
(Zhang Min, Tang Guoqing, Zhang Yan.A Grounded Analysis on Users’ Health Knowledge Sharing Behaviors in Virtual Community[J]. Information Studies: Theory & Application, 2018, 41(7): 93-98.)
[33]
Guo X, Guo S, Douglas V, et al.Online Healthcare Community Interaction Dynamics[J]. Journal of Management Science and Engineering, 2016, 1(1): 58-74.
(Zhang Keyong, Li He.Research on the Influencing Factors of Knowledge Sharing in Online Health Community[J]. Library and Information Service, 2017, 61(5): 109-116.)
[35]
Zhang X, Liu S, Deng Z, et al.Knowledge Sharing Motivations in Online Health Communities: A Comparative Study of Health Professionals and Normal Users[J]. Computers in Human Behavior, 2017, 75: 797-810.
[36]
Zhao L, Detlor B, Connelly C E.Sharing Knowledge in Social Q&A Sites: The Unintended Consequences of Extrinsic Motivation[J]. Journal of Management Information Systems, 2016, 33(1): 70-100.
(Fan Xiaoniu, Ai Shizhong.An Empirical Study on the Relationship Between Online Medical Community Participants’ Behaviors and Knowledge Exchange Effect[J]. Journal of Intelligence, 2016, 35(7): 173-178.)
(Hou Guisheng, Wang Pengmin, Yang Lei.Research on Evolutionary Game of the Knowledge Conversion and Sharing of Online Health Community Users[J]. Information Science, 2017, 35(7): 31-38.)
(Wu Jiang, Zhou Lusha.The Study of Knowledge Sharing Network and Users’ Knowledge Interaction in Online Health Community[J]. Information Science, 2017, 35(3): 144-151.)
[40]
Huh J, Kwon B C, Kim S H, et al.Personas in Online Health Communities[J]. Journal of Biomedical Informatics, 2016, 63: 212-225.
[41]
Lu Y, Wu Y, Liu J, et al.Understanding Health Care Social Media Use from Different Stakeholder Perspectives: A Content Analysis of an Online Health Community[J]. Journal of Medical Internet Research, 2017, 19(4): e109.
[42]
Park H, Park M S.Cancer Information-Seeking Behaviors and Information Needs Among Korean Americans in the Online Community[J]. Journal of Community Health, 2014, 39(2): 213-220.
[43]
Westbrook L, Zhang Y.Questioning Strangers About Critical Medical Decisions: “What Happens If You Have Sex Between the HPV Shots?”[J]. Information Research, 2015, 20(2): 1-12.
(Wu Jiang, Hou Shaoxin, Jin Mengmeng, et al.LDA Feature Selection Based Text Classification and User Clustering in Chinese Online Health Community[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36(11): 1183-1191.)
(Jin Biyi, Xu Xin.Research on Theme Features in Online Health Community[J]. Library and Information Service, 2015, 59(12): 100-105.)
[46]
Yeleswarapu S J, Rao A, Joseph T, et al. A Pipeline to Extract Drug-adverse Event Pairs from Multiple Data Sources[J]. BMC Medical Informatics and Decision Making, 2014, 14: Article No.13.
[47]
Ghweeba M, Lindenmeyer A, Shishi S, et al.What Predicts Online Health Information-Seeking Behavior Among Egyptian Adults? A Cross-Sectional Study[J]. Journal of Medical Internet Research, 2017, 19(6): e216.
[48]
Nonaka I.The Knowledge-Creating Company[M]. Harvard Business Review Press, 2008.
(Xi Yunjiang, Dang Yanzhong, Liao Kaiji.Knowledge Supernetwork Model and Its Application in Organizational Knowledge Systems[J]. Journal of Management Sciences in China, 2009, 12(3): 12-21.)
(Xi Yunjiang, Dang Yanzhong.A Method to Represent and Measure Personal Knowledge Stocks Based on Weighted Knowledge Network[J]. Chinese Journal of Management, 2007, 4(1): 28-31, 39.)
[51]
Chao Z, Jiang J, Xu Z, et al.A Study of EMR-based Medical Knowledge Network and Its Applications[J]. Computer Methods & Programs in Biomedicine, 2017, 143(C): 13-23.
[52]
National Research Council.Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease[R]. Washington(DC), US: National Academies Press, 2011.
(Liao Xiao, Li Zhihong, Xi Yunjiang.Modeling and Analyzing Methods of User-innovation Knowledge in Enterprise Communities Based on Weighted Knowledge Network[J]. Systems Engineering-Theory & Practice, 2016, 36(1): 94-105.)
(Luo Yaping, Wang Cong, Zhou Yanquan.Study on Hot Topic Discovery Model Based on Attention Degree[C]//Proceedings of the 7th International Conference on Chinese Computing. 2007: 402-408.)
(An Xingru.The Research on the Threshold of High-Frequency Words Based on the Normal Distribution in Word Frequency Analysis[J]. Journal of Intelligence, 2014, 33(10): 129-136.)
[56]
Zhang H P, Yu H K, Xiong D Y, et al.HHMM-Based Chinese Lexical Analyzer ICTCLAS[C]// Proceedings of the 2nd SIGHAN Workshop on Chinese Language Processing. 2003, 17: 184-187.
[57]
Persson O, Danell R, Schneider J W.How to Use Bibexcel for Various Types of Bibliometric Analysis[J]. Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at His 60th Birthday, 2009, 5: 9-24.
[58]
Borgatti S P, Everett M G, Freeman L C.Ucinet for Windows: Software for Social Network Analysis[R]. Harvard Analytic Technologies, 2002.
