A network approach to topic summary and knowledge discovery in social tagging

Xiang, Xin

Permalink

https://hdl.handle.net/2142/26138 Copy

Description

Title

A network approach to topic summary and knowledge discovery in social tagging

Author(s)

Xiang, Xin

Issue Date

2011-08-25T22:15:46Z

Director of Research (if dissertation) or Advisor (if thesis)

Heidorn, P. Bryan

Doctoral Committee Chair(s)

Smith, Linda C.

Committee Member(s)

• Heidorn, P. Bryan
• Unsworth, John M.
• Zhai, ChengXiang

Department of Study

Library & Information Science

Discipline

Library & Information Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Social tagging
• Complex network
• Tag
• Folksonomy
• Visualization
• Tag cloud
• Small world

Abstract

This doctoral research focuses on studying the semantic relations between social tags, items and content creators through co-occurrence analysis, social network analysis and information visualization, thus revealing the role played by social tags in representing and classifying contents and creators, and implications they might have for facilitating information seeking practice, particularly knowledge discovery and information summary, and as a result, helping the design of information retrieval and browsing interface. A user study is conducted to evaluate the effectiveness of visual constructions based on similarity and network analysis for several tasks that they can be used to support. Both network analysis and user study suggest that tag/author networks contain strong community structures that are algorithmically detectable and semantically relevant.

Graduation Semester

2011-08

Permalink

http://hdl.handle.net/2142/26138

Copyright and License Information

Copyright 2011 Xin Xiang

Owning Collections