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<biblioentry xreflabel="tagrecomfolk" id="tagrecomfolk">
   <authorgroup>
       <author><firstname>J&#228;schke&#44;</firstname><surname>Robert</surname></author>
       <author><firstname>Marinho&#44;</firstname><surname>Leandro</surname></author>
       <author><firstname>Hotho&#44;</firstname><surname>Andreas</surname></author>
       <author><firstname>Schmidt&#45;Thieme&#44;</firstname><surname>Lars</surname></author>
       <author><firstname>Stumme&#44;</firstname><surname>Gerd</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Tag Recommendations in Folksonomies</citetitle>





   <pubdate>2007</pubdate>  

</biblioentry>
<biblioentry xreflabel="citeulike:739394" id="citeulike:739394">
   <authorgroup>
       <author><firstname>Heymann&#44;</firstname><surname>Paul</surname></author>
       <author><firstname>Garcia&#45;Molina&#44;</firstname><surname>Hector</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems</citetitle>





   <pubdate>2006</pubdate>  
   <abstract>
      <para>Collaborative tagging systems&#38;&#35;x2013;&#45;systems where many casual users annotate objects with free&#45;form strings (tags) of their choosing&#38;&#35;x2013;&#45;have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems&#44; we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="golder2005" id="golder2005">
   <authorgroup>
       <author><firstname>Golder&#44;</firstname><surname>Scott</surname></author>
       <author><firstname>Huberman&#44;</firstname><othername role="mi">Bernardo</othername><surname>A.</surname></author> 
   </authorgroup>
<citetitle pubwork="article">The Structure of Collaborative Tagging Systems</citetitle>





   <pubdate>2005</pubdate>  
   <abstract>
      <para>Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently&#44; collaborative tagging has grown in popularity on the web&#44; on sites that allow users to tag bookmarks&#44; photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically&#44; we discovered regularities in user activity&#44; tag frequencies&#44; kinds of tags used&#44; bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.
      </para>
   </abstract>
</biblioentry>
</bibliography>

