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现代图书情报技术  2014, Vol. 30 Issue (1): 56-65     https://doi.org/10.11925/infotech.1003-3513.2014.01.09
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
媒体即社区?信息系统领域基于文献的研究主题分析*
赵宇翔, 彭希羡
南京大学信息管理学院 南京 210093
Media as a Community? Literature Based Topic Evaluation in Information Systems Discipline
Zhao Yuxiang, Peng Xixian
School of Information Management,Nanjing University,Nanjing 210093,China
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摘要 【目的】通过对IS期刊中社会化媒体和在线社区的研究主题进行比较分析验证媒体即社区的假设。【文献范围】以ISI Web of Science为数据来源,结合国际信息系统协会(AIS)提供的期刊列表,选择45本信息系统领域的核心期刊作为研究对象。【方法】通过关键词分析、高频词分析、共词聚类以及可视化方法,深入探索社会化媒体和在线社区研究的主题分布和随时间的演化规律。【结果】社会化媒体与在线社区两个概念由原先较为平行的关系发展成目前交织的状态,且由于其连接的平滑性和重叠度使得两者在内涵上和外延上愈发趋于统一。【结论】从文献层面部分论证媒体即社区这一假设,并进一步提出其理论价值。
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赵宇翔
彭希羡
关键词 社会化媒体在线社区信息系统共词分析可视化    
Abstract:[Objective] This paper is to validate the assertion of Media as a Community(MaaC)based on the IS journal publications. [Coverage] ISI Web of Science and AIS journal rankings are used as the data source to examine the topic,and 45 IS journals are selected. [Methods] The study employs the co-word analysis and visualization method to explore the research theme and evolution of social media and online community. [Results] The findings show that the two concepts,i.e.,social media and online community,have been evolved from the original parallel relation to the tangling circumstance. [Conclusions] Due to the smooth linking and overlapping between these two concepts,social media is to some extent as an online community from the literature perspective.
Key wordsSocial media    Online community    Information systems    Co-word analysis    Visualization
收稿日期: 2014-02-14      出版日期: 2014-02-14
:  C931.6  
基金资助:本文系国家社会科学基金重点项目“互联网用户群体协作行为模式的理论与应用研究”(项目编号:10ATQ004)和教育部人文社会科学青年项目“众包社区中参与者的动因分类及调节效应研究”(项目编号:13YJC870033)的研究成果之一。
通讯作者: 通讯作者 赵宇翔 E-mail:yxzhao@vip.163.com   
作者简介: 作者贡献声明:赵宇翔:提出研究思路,设计研究方案,撰写论文并负责最终版本的修订;彭希羡:收集、清洗并分析数据,负责论文起草。
引用本文:   
赵宇翔,彭希羡. 媒体即社区?信息系统领域基于文献的研究主题分析*[J]. 现代图书情报技术, 2014, 30(1): 56-65.
Zhao Yuxiang,Peng Xixian. Media as a Community? Literature Based Topic Evaluation in Information Systems Discipline. New Technology of Library and Information Service, 2014, 30(1): 56-65.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.01.09      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I1/56
[1] Lyons K,Chuang S,Choo C W. Towards a Conceptual Framework for Managing Social Media in Enterprise Online Communities [C]. In:Proceedings of the 2012 iConference. New York:ACM,2012:626-628.
[2]Boyd D M,Ellison N B. Social Network Sites:Definition,History,and Scholarship [J]. Journal of Computer-Mediated Communication,2007,13(1):210-230.
[3]Hansen D,Shneiderman B,Smith M A. Analyzing Social Media Networks with NodeXL:Insights from a Connected World [M]. San Francisco:Morgan Kaufmann Publishers Inc.,2010:11-29.
[4]Berners-Lee T,Weitzner D J,Hall W,et al. A Framework for Web Science [J]. Foundations and Trends in Web Science,2006,1(1):1-130.
[5]Kaplan A M,Haenlein M. Users of the World,Unite! The Challenges and Opportunities of Social Media [J]. Business Horizons,2010,53(1):59-68.
[6]Tang L,Liu H. Community Detection and Mining in Social Media [M]. Synthesis Lectures on Data Mining and Knowledge Discovery,Morgan & Claypool Publishers,2010:1-137.
[7]Wellman B,Salaff J,Dimitrova D,et al. Computer Networks as Social Networks:Collaborative Work,Telework,and Virtual Community[J]. Annual Review of Sociology,1996,22(1):213-238.
[8]Preece J. Sociability and Usability in Online Communities:Determining and Measuring Success [J]. Behavior & Information Technology,2001,20(5):347-356.
[9]Armstrong A,Hagel J. The Real Value of On-line Communities [J]. Harvard Business Reviews,1996,74(3):134-141.
[10]Kim H N,Ji A T,Ha I,et al. Collaborative Filtering Based on Collaborative Tagging for Enhancing the Quality of Recommendation [J]. Electronic Commerce Research and Applications,2010,9(1):73-83.
[11]Held C,Kimmerle J,Cress U. Learning by Foraging:The Impact of Individual Knowledge and Social Tags on Web Navigation Processes [J]. Computers in Human Behavior,2012,28(1):34-40.
[12]Pfaff C C,Hasan H. Wiki-based Knowledge Management Systems for Democratic Organizations [J]. Journal of Computer Information Systems,2011,52(2):73-82.
[13]Prasarnphanich P,Wagner C. The Role of Wiki Technology and Altruism in Collaborative Knowledge Creation [J]. Journal of Computer Information Systems,2009,49(4):33-41.
[14]Leary J. Testing Wiki Credibility [J]. Communications of the ACM,2006,49(2):12.
[15]Nov O. What Motivates Wikipedians? [J]. Communications of the ACM,2007,50(11):60-64.
[16]Barnes S J,Böhringer M. Modeling Use Continuance Behavior in Microblogging Services:The Case of Twitter [J]. Journal of Computer Information Systems,2011,51(4):1-10.
[17]Cheong M,Lee V C S. A Microblogging-based Approach to Terrorism Informatics:Exploration and Chronicling Civilian Sentiment and Response to Terrorism Events via Twitter [J]. Information Systems Frontiers,2011,13(1):45-59.
[18]Susarla A,Oh J H,Tan Y. Social Networks and the Diffusion of User-Generated Content:Evidence from YouTube [J]. Information Systems Research,2012,23(1):23-41.
[19]Lim S S,Chan Y H,Vadrevu S,et al. Managing Peer Relationships Online-Investigating the Use of Facebook by Juvenile Delinquents and Youths-at-Risk[J]. Computers in Human Behavior,2013,29(1):8-15.
[20]Lee D Y. The Role of Attachment Style in Building Social Capital from a Social Networking Site:The Interplay of Anxiety and Avoidance [J]. Computers in Human Behavior,2013,29(4):1499-1509.
[21]Ljepava N,Orr R R,Locke S,et al. Personality and Social Characteristics of Facebook Non-Users and Frequent Users [J]. Computers in Human Behavior,2013,29(4):1602-1607.
[22]Chiu C M,Cheng H L,Huang H Y,et al. Exploring Individuals’ Subjective Well-Being and Loyalty Towards Social Network Sites from the Perspective of Network Externalities:The Facebook Case [J]. International Journal of Information Management,2013,33(3):539-552.
[23]Jackson L A,Wang J L. Cultural Differences in Social Networking Site Use:A Comparative Study of China and the United States [J]. Computers in Human Behavior,2013,29(3):910-921.
[24]Lu H P,Lin J C C,Hsiao K L,et al. Information Sharing Behaviour on Blogs in Taiwan:Effects of Interactivities and Gender Differences [J]. Journal of Information Science,2010,36(3):401-416.
[25]Nardi B A,Schiano D J,Gumbrecht M,et al. Why We Blog [J]. Communications of the ACM,2004,47(12):41-46.
[26]Hsieh C C,Kuo P L,Yang S C,et al. Assessing Blog-User Satisfaction Using the Expectation and Disconfirmation Approach [J]. Computers in Human Behavior,2010,26(6):1434-1444.
[27]Li K,Du T C. Building a Targeted Mobile Advertising System for Location-based Services [J]. Decision Support Systems,2012,54(1):1-8.
[28]Dhar S,Varshney U. Challenges and Business Models for Mobile Location-based Services and Advertising [J]. Communications of the ACM,2011,54(5):121-128.
[29]Xu H,Teo H H,Tan B C Y,et al. Research Note-Effects of Individual Self-Protection,Industry Self-Regulation,and Government Regulation on Privacy Concerns:A Study of Location-based Services [J]. Information Systems Research,2012,23(4):1342-1363.
[30]Casaló L V,Flavián C,Guinalíu M. Relationship Quality,Community Promotion and Brand Loyalty in Virtual Communities:Evidence from Free Software Communities [J]. International Journal of Information Management,2010,30(4):357-367.
[31]Zhou L N,Burgoon J K,Zhang D S,et al. Language Dominance in Interpersonal Deception in Computer-Mediated Communication [J]. Computers in Human Behavior,2004,20(3):381-402.
[32]Shin H K,Kim K K. Examining Identity and Organizational Citizenship Behaviour in Computer-Mediated Communi- cation [J]. Journal of Information Science,2010,36(1):114-126.
[33]Alonzo M,Aiken M. Flaming in Electronic Communication [J]. Decision Support Systems,2004,36(3):205-213.
[34]Tang Q,Gu B,Whinston A B. Content Contribution for Revenue Sharing and Reputation in Social Media:A Dynamic Structural Model [J]. Journal of Management Information Systems,2012,29(2):41-76.
[35]Zeng X H,Wei L Y. Social Ties and User Content Generation:Evidence from Flickr [J]. Information Systems Research,2013,24(1):71-87.
[36]Tow W N F H,Dell P,Venable J. Understanding Information Disclosure Behavior in Australian Facebook Users [J]. Journal of Information Technology,2010,25(2):126-136.
[37]Hildebrand C,Häubl G,Herrmann A,et al. When Social Media Can be Bad for You:Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products [J]. Information Systems Research,2013,24(1):14-29.
[38]Goh K Y,Heng C S,Lin Z J. Social Media Brand Community and Consumer Behavior:Quantifying the Relative Impact of User-and Marketer-Generated Content [J]. Information Systems Research,2013,24(1):88-107.
[39]Papadopoulos T,Stamati T,Nopparuch P. Exploring the Determinants of Knowledge Sharing via Employee Weblogs [J]. International Journal of Information Management,2013,33(1):133-146.
[40]Chai S M,Das S,Rao H R. Factors Affecting Bloggers’ Knowledge Sharing:An Investigation Across Gender [J]. Journal of Management Information Systems,2011,28(3):309-342.
[41]Yang H L,Lai C Y. Motivations of Wikipedia Content Contributors [J].Computers in Human Behavior,2010,26(6):1377-1383.
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