PUMA publications for /user/stumme/network%20communityhttps://puma.uni-kassel.de/user/stumme/network%20communityPUMA RSS feed for /user/stumme/network%20community2024-03-28T18:07:51+01:00Mining Social Media: Key Players, Sentiments, and Communitieshttps://puma.uni-kassel.de/bibtex/27b616e64994893a2aad95b5ad95db662/stummestumme2013-03-18T15:02:35+01:002012 analysis community data detection itegpub mining network opinion sentiment social venus vikamine <span class="authorEditorList"><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><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>WIREs: Data Mining and Knowledge Discovery</em></span></span> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Mon Mar 18 15:02:35 CET 2013WIREs: Data Mining and Knowledge Discovery{Mining Social Media: Key Players, Sentiments, and Communities}In Press20122012 analysis community data detection itegpub mining network opinion sentiment social venus vikamine Modularity clustering is force-directed layouthttps://puma.uni-kassel.de/bibtex/20186031133dc122ffd6ff33ded32c911/stummestumme2008-07-31T11:57:32+02:00clustering communities community graph layout modularity network sna <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Noack" itemprop="url" href="/author/Andreas%20Noack"><span itemprop="name">A. Noack</span></a></span>. </span>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Thu Jul 31 11:57:32 CEST 2008Modularity clustering is force-directed layout2008clustering communities community graph layout modularity network sna Two natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper unifies prominent characterizations of layout quality and clustering quality, by showing that energy models of pairwise attraction and repulsion subsume Newman and Girvan's modularity measure. Layouts with optimal energy are relaxations of, and are thus consistent with, clusterings with optimal modularity, which is of practical relevance because both representations are complementary and often used together.[0807.4052] Modularity clustering is force-directed layoutEmail as Spectroscopy: Automated Discovery of Community Structure within Organizationshttps://puma.uni-kassel.de/bibtex/29cf2e42d9c90d4fbcbdc94c75d21ca99/stummestumme2006-03-30T21:04:19+02:00email seminar2006 network community <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joshua R Tyler" itemprop="url" href="/author/Joshua%20R%20Tyler"><span itemprop="name">J. Tyler</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis M Wilkinson" itemprop="url" href="/author/Dennis%20M%20Wilkinson"><span itemprop="name">D. Wilkinson</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernardo A Huberman" itemprop="url" href="/author/Bernardo%20A%20Huberman"><span itemprop="name">B. Huberman</span></a></span>. </span>(<em><span>2003<meta content="2003" itemprop="datePublished"/></span></em>)Thu Mar 30 21:04:19 CEST 2006Email as Spectroscopy: Automated Discovery of Community Structure within Organizations2003email seminar2006 network community