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        <identifier>oai:www.ideals.illinois.edu:2142/26138</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Heidorn, P. Bryan</dc:contributor>
          <dc:contributor>Smith, Linda C.</dc:contributor>
          <dc:contributor>Heidorn, P. Bryan</dc:contributor>
          <dc:contributor>Unsworth, John M.</dc:contributor>
          <dc:contributor>Zhai, ChengXiang</dc:contributor>
          <dc:creator>Xiang, Xin</dc:creator>
          <dc:date>2011-08-25T22:15:46Z</dc:date>
          <dc:date>2011-08-25T22:15:46Z</dc:date>
          <dc:date>2011-08-25T22:15:46Z</dc:date>
          <dc:date>2011-08</dc:date>
          <dc:description>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.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-06-10T20:58:45Z
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University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:identifier>http://hdl.handle.net/2142/26138</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2011 Xin Xiang</dc:rights>
          <dc:subject>Social tagging</dc:subject>
          <dc:subject>Complex network</dc:subject>
          <dc:subject>Tag</dc:subject>
          <dc:subject>Folksonomy</dc:subject>
          <dc:subject>Visualization</dc:subject>
          <dc:subject>Tag cloud</dc:subject>
          <dc:subject>Small world</dc:subject>
          <dc:title>A network approach to topic summary and knowledge discovery in social tagging</dc:title>
          <degree>
            <department>Library &amp; Information Science</department>
            <departmentCode>1992</departmentCode>
            <discipline>Library &amp; Information Science</discipline>
            <disciplineCode>0370</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Library &amp; Infor Sci -UIUC</program>
            <programCode>10KS0370PHD</programCode>
          </degree>
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