Files in this item



application/pdfXiang_Xin.pdf (3MB)
(no description provided)PDF


Title:A network approach to topic summary and knowledge discovery in social tagging
Author(s):Xiang, Xin
Director of Research:Heidorn, P. Bryan
Doctoral Committee Chair(s):Smith, Linda C.
Doctoral Committee Member(s):Heidorn, P. Bryan; Unsworth, John M.; Zhai, ChengXiang
Department / Program:Library & Information Science
Discipline:Library & Information Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Social tagging
Complex network
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.
Issue Date:2011-08-25
Rights Information:Copyright 2011 Xin Xiang
Date Available in IDEALS:2011-08-25
Date Deposited:2011-08

This item appears in the following Collection(s)

Item Statistics