A Clickstream Data Analysis of Users' Information Seeking Modes in Social Tagging Systems

Jiang, Tingting

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https://hdl.handle.net/2142/47288 Copy

Description

Title

A Clickstream Data Analysis of Users' Information Seeking Modes in Social Tagging Systems

Author(s)

Jiang, Tingting

Issue Date

2014-03-01

Keyword(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.

Publisher

iSchools

Series/Report Name or Number

iConference 2014 Proceedings

Type of Resource

text

Language

english

Permalink

http://hdl.handle.net/2142/47288

DOI

https://doi.org/10.9776/14091

Copyright and License 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.

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