图书情报工作

图书情报工作 >

2013 , Vol. 57 >Issue 24: 95 - 100

DOI: https://doi.org/10.7536/j.issn.0252-3116.2013.24.016

情报研究

突发事件情境下网络问答社区用户构成和行为分析——基于问题胶囊事件的实证研究

  • 李纲 ,
  • 陈璟浩
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  • 武汉大学
李纲，武汉大学信息资源研究中心副主任，珞珈特聘教授，博士生导师

收稿日期: 2013-09-23

  修回日期: 2013-11-03

  网络出版日期: 2013-12-20

基金资助

本文系国家社会科学基金重大项目“智慧城市应急决策情报体系建设研究”（项目编号：13&ZD173）研究成果之一。

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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

  • Li Gang ,
  • Chen Jinghao
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  • Center for the Studies of Information Resources of Wuhan University, Wuhan 430072

Received date: 2013-09-23

  Revised date: 2013-11-03

  Online published: 2013-12-20

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摘要

对用户在突发事件情境下的行为、构成和各类用户特征进行分析，结果显示有关突发事件的提问与回答几乎同步，当天提问当天即有人回答；突发事件吸引了大量匿名用户和沉寂用户参与在线问答，活跃用户在回答问题满意度和参与回答数量上都远远高于前两类用户；如果用户为权威用户，其回答被采纳率更高。最后提出一些改善突发事件网络沟通效果的建议。

关键词： 突发事件; 用户构成; 行为分析; 时间序列; RFM分析

本文引用格式

李纲 , 陈璟浩 . 突发事件情境下网络问答社区用户构成和行为分析——基于问题胶囊事件的实证研究[J]. 图书情报工作, 2013 , 57(24) : 95 -100 . DOI: 10.7536/j.issn.0252-3116.2013.24.016

Abstract

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

参考文献

[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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