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Title:A Clickstream Data Analysis of Users' Information Seeking Modes in Social Tagging Systems
Author(s):Jiang, Tingting
Subject(s):clickstream
information seeking modes
social tagging systems
Douban
Abstract:Social tagging systems enable their users to access useful or interesting information resources in various ways. The purposes of this study are to identify the information seeking modes adopted by users in this context and to determine the popularity as well as effectiveness of these modes. A transaction log file obtained from Douban, the most influential Chinese-language social tagging system, was examined based on an original clickstream data analysis framework. The results show that encountering, browsing by resource/tag/user/group, searching, and monitoring by user/group are the major modes ever adopted. While browsing by resource is the most popular mode, browsing by tag is the most effective one. The research findings enrich our understanding of social tagging systems as vibrant information seeking environments and provide useful implications for their interface design.
Issue Date:2014-03-01
Publisher:iSchools
Citation Info:Jiang, T. (2014). A Clickstream Data Analysis of Users' Information Seeking Modes in Social Tagging Systems. In iConference 2014 Proceedings (p. 314 - 328). doi:10.9776/14091
Series/Report:iConference 2014 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:english
URI:http://hdl.handle.net/2142/47288
DOI:10.9776/14091
Other Identifier(s):91
Publication Status:published
Peer Reviewed:yes
Rights Information:Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2014-02-28


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