PUMA publications for /user/iteg/muse%20networks%20myown%20community%202010https://puma.uni-kassel.de/user/iteg/muse%20networks%20myown%20community%202010PUMA RSS feed for /user/iteg/muse%20networks%20myown%20community%2020102024-03-29T07:06:36+01:00Community Assessment using Evidence Networkshttps://puma.uni-kassel.de/bibtex/2d93c7cc72cd40e027d5421fdafe90a9a/itegiteg2011-11-22T10:26:32+01:002010 assessment community ecml evaluation evidence itegpub muse myown networks pkdd <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dominik Benz" itemprop="url" href="/author/Dominik%20Benz"><span itemprop="name">D. Benz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)</span>, </em></span><em>Barcelona, Spain, </em>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Barcelona, SpainProceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)Community Assessment using Evidence Networks20102010 assessment community ecml evaluation evidence itegpub muse myown networks pkdd Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social
bookmarking application BibSonomy. The results indicate that the evidence
networks reflect the relative rating of the explicit ones very well.