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An Empirical Study to Understanding the User Types and Their Behaviors in Online Q&A Community at the Time of Public Emergency：A Case on Inferior Capsule Event
Received date: 2013-09-23
Revised date: 2013-11-03
Online published: 2013-12-20
This paper analyzes the user types and their behavior in Q&A community at the time of public emergency. The results show that the questions and answerers are almost synchronous appeared on the Q&A community during the public emergency. Someone just posted the question on the community. They got the answers at the same day. And the public emergency can attract a lot of anonymous users and dormancy users to participate in Q&A community. The satisfaction rate and answer quantity of active users are obviously higher than other users. The adopted rate of answers from authority is higher than others. At last, some suggestions are proposed.
Key words： public emergencies; user type; user behavior; time-series; RFM analysis
Li Gang , Chen Jinghao . An Empirical Study to Understanding the User Types and Their Behaviors in Online Q&A Community at the Time of Public Emergency：A Case on Inferior Capsule Event[J]. Library and Information Service, 2013 , 57(24) : 95 -100 . DOI: 10.7536/j.issn.0252-3116.2013.24.016
[1] Adamic L A, Zhang Jun, Bakshy E, et al.Knowledge sharing and Yahoo Answers: Everyone knows something[C]//Proceedings of the International World Wide Web Conference Committee.Beijing:ACM, 2008:665-674.
[2] Kim S, Pinkerton T, Ganesh N. Assessment of H1N1 questions and answers posted on the Web[J]. American Journal of Infection Control, 2012, 40(3):211-218.
[3] Chiu Chao-Min, Hsu Meng-Hsiang, Wang E T G. Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories[J].Decision Support Systems, 2006, 42(3):1872-1888.
[4] Zhang Yixiang, Fang Yulin, Wei Kwok-Kee, et al. Exploring the role of psychological safety in promoting the intention to continue sharing knowledge in virtual communities[J]. International Journal of Information Management, 2010, 30(5):425-436.
[5] Lou Jie, Fang Yulin, Kai H L. Contributing high quantity and quality knowledge to online Questions and Answers communities[J]. Journal of the American Society for Information Science and Technology, 2013, 64(2):357-371.
[6] 高天亮, 安立仁.网络知识分享行为经验研究——以百度"知道"为案例[J].西北大学学报(哲学社会科学版), 2012, 42(1):104-111.
[7] 严安.基于UTAUT的百度产品用户使用行为影响因素研究[J].现代情报, 2012, 32(11):100-122.
[8] 何向阳, 熊才平, 郭伟.百度知道中网络信息资源与用户发展的仿真研究[J].远程教育杂志, 2012, 30(2):91-96.
[9] Liu Duen-Ren, Shih Ya-Yueh. Integrating AHP and data mining for product recommendation based on customer lifetime value[J].Information & Management, 2005, 42(3):387-400.
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