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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (2): 108-117    DOI: 10.11925/infotech.2096-3467.2018.0619
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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
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Abstract  

[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.

Key wordsOnline Health Communities      Weighted Knowledge Network      Information Requirement      Knowledge Discovery     
Received: 04 June 2018      Published: 27 March 2019

Cite this article:

Juhua Wu,Yu Wang,Ming Li,Shaoyun Cai. Knowledge Discovery of Online Health Communities with Weighted Knowledge Network. Data Analysis and Knowledge Discovery, 2019, 3(2): 108-117.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.0619     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I2/108

[1] 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.
[9] 韩景倜, 樊卫国, 罗晓兰, 等. 用户健康信息搜寻行为对健康行为影响的研究进展[J]. 情报资料工作, 2018(2): 48-55.
[9] (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.)
[10] 李重阳, 翟姗姗, 郑路. 网络健康社区信息需求特征测度——基于时间和主题视角的实证分析[J]. 数字图书馆论坛, 2016(9): 34-42.
[10] (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.
[12] 邓胜利, 付少雄, 陈晓宇. 信息传播媒介对用户健康信息搜寻的影响研究——基于健康素养和信息检索能力的双重视角[J]. 情报科学, 2017, 35(4): 126-132.
[12] (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.
[14] 王瑜超. 在线医疗社区用户健康隐私信息披露意愿的影响因素研究[J]. 信息资源管理学报, 2018, 8(1): 93-103, 113.
[14] (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.
[16] 张星, 夏火松, 陈星, 等. 在线健康社区中信息可信性的影响因素研究[J]. 图书情报工作, 2015, 59(22): 88-96.
[16] (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.
[18] 吴江, 李姗姗, 周露莎, 等. 基于随机行动者模型的在线医疗社区用户关系网络动态演化研究[J]. 情报学报, 2017, 36(2): 213-220.
[18] (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.
[21] 翟羽佳, 张鑫, 王芳. 在线健康社区中的用户参与行为——以“百度戒烟吧”为例[J]. 图书情报工作, 2017, 61(7): 75-82.
[21] (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.
[23] 张李义, 李慧然. 基于互动视角的在线医疗问答患者用户使用研究[J]. 数据分析与知识发现, 2018, 2(1): 76-87.
[23] (Zhang Liyi, Li Huiran.Studying Social Interaction of Online Medical Question-Answering Service[J]. Data Analysis and Knowledge Discovery, 2018, 2(1): 76-87.)
[24] 张星, 陈星, 夏火松, 等. 在线健康社区中用户忠诚度的影响因素研究:从信息系统成功与社会支持的角度[J]. 情报科学, 2016, 34(3): 133-138, 160.
[24] (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.
[26] 吴江, 李姗姗. 在线健康社区用户信息服务使用意愿研究[J]. 情报科学, 2017, 35(4): 119-125.
[26] (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.)
[29] 陈扬森, 陈军. 基于关键词共现与社会网络分析法的国内外社交媒体研究热点分析[J]. 信息资源管理学报, 2017, 7(3): 45-55.
[29] (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.
[32] 张敏, 唐国庆, 张艳. 虚拟社区用户健康知识共享行为的扎根分析[J]. 情报理论与实践, 2018,41(7): 93-98.
[32] (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.
[34] 张克永, 李贺. 网络健康社区知识共享的影响因素研究[J]. 图书情报工作, 2017, 61(5): 109-116.
[34] (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.
[37] 范晓妞, 艾时钟. 在线医疗社区参与双方行为对知识交换效果影响的实证研究[J]. 情报杂志, 2016, 35(7): 173-178.
[37] (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.)
[38] 侯贵生, 王鹏民, 杨磊. 在线健康社区用户知识转化与共享的演化博弈分析[J]. 情报科学, 2017, 35(7): 31-38.
[38] (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.)
[39] 吴江, 周露莎. 在线医疗社区中知识共享网络及知识互动行为研究[J]. 情报科学, 2017, 35(3): 144-151.
[39] (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.
[44] 吴江, 侯绍新, 靳萌萌, 等. 基于LDA模型特征选择的在线医疗社区文本分类及用户聚类研究[J]. 情报学报, 2017, 36(11): 1183-1191.
[44] (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.)
[45] 金碧漪, 许鑫. 网络健康社区中的主题特征研究[J]. 图书情报工作, 2015, 59(12): 100-105.
[45] (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.
[49] 席运江, 党延忠, 廖开际. 组织知识系统的知识超网络模型及应用[J]. 管理科学学报, 2009, 12(3): 12-21.
[49] (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.)
[50] 席运江, 党延忠. 基于加权知识网络的个人知识存量表示与度量方法[J]. 管理学报, 2007, 4(1): 28-31, 39.
[50] (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.
[53] 廖晓, 李志宏, 席运江. 基于加权知识网络的企业社区用户创新知识建模及分析方法[J]. 系统工程理论与实践, 2016, 36(1): 94-105.
[53] (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.)
[54] 罗亚平, 王枞, 周延泉. 基于关注度的热点话题发现模型[C]//第七届中文信息处理国际会议论文集. 2007: 402-408.
[54] (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.)
[55] 安兴茹. 基于正态分布的词频分析法高频词阈值研究[J]. 情报杂志, 2014, 33(10): 129-136.
[55] (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.
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