PUMA publications for /user/stumme/detectionhttps://puma.uni-kassel.de/user/stumme/detectionPUMA RSS feed for /user/stumme/detection2024-03-29T10:10:07+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 The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systemshttps://puma.uni-kassel.de/bibtex/25b6b648fd25c15d594404ae26fcda6b4/stummestumme2013-03-18T14:06:44+01:002008 bookmarking detection itegpub l3s myown seminar spam summer <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Beate Krause" itemprop="url" href="/author/Beate%20Krause"><span itemprop="name">B. Krause</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</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">AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web</span>, </em></span><em>Seite <span itemprop="pagination">61--68</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>April 2008<meta content="April 2008" itemprop="datePublished"/></span></em>)Mon Mar 18 14:06:44 CET 2013New York, NY, USAAIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Webapr61--68The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems20082008 bookmarking detection itegpub l3s myown seminar spam summer The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.Privacy-aware spam detection in social bookmarking systemshttps://puma.uni-kassel.de/bibtex/200a8f31185a34957eb16d500d7d51398/stummestumme2012-01-04T11:32:55+01:002011 aware classification data-mining detection info20 itegpub myown social spam spam-detection web2.0 web20 <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Beate Navarro Bullock" itemprop="url" href="/author/Beate%20Navarro%20Bullock"><span itemprop="name">B. Bullock</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hana Lerch" itemprop="url" href="/author/Hana%20Lerch"><span itemprop="name">H. Lerch</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Roßnagel" itemprop="url" href="/author/Alexander%20Ro%5cssnagel"><span itemprop="name">A. Roßnagel</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 11th International Conference on Knowledge Management and Knowledge Technologies</span>, </em></span><em>Seite <span itemprop="pagination">15:1--15:8</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Jan 04 11:32:55 CET 2012New York, NY, USAProceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies15:1--15:8i-KNOW '11Privacy-aware spam detection in social bookmarking systems20112011 aware classification data-mining detection info20 itegpub myown social spam spam-detection web2.0 web20 With the increased popularity of Web 2.0 services in the last years data privacy has become a major concern for users. The more personal data users reveal, the more difficult it becomes to control its disclosure in the web. However, for Web 2.0 service providers, the data provided by users is a valuable source for offering effective, personalised data mining services. One major application is the detection of spam in social bookmarking systems: in order to prevent a decrease of content quality, providers need to distinguish spammers and exclude them from the system. They thereby experience a conflict of interests: on the one hand, they need to identify spammers based on the information they collect about users, on the other hand, they need to respect privacy concerns and process as few personal data as possible. It would therefore be of tremendous help for system developers and users to know which personal data are needed for spam detection and which can be ignored. In this paper we address these questions by presenting a data privacy aware feature engineering approach. It consists of the design of features for spam classification which are evaluated according to both, performance and privacy conditions. Experiments using data from the social bookmarking system BibSonomy show that both conditions must not exclude each other.Privacy-aware spam detection in social bookmarking systemsDENGRAPH: A Density-based Community Detection Algorithmhttps://puma.uni-kassel.de/bibtex/2c0f9b82222d0c9a0b1cb0a5fa41a735a/stummestumme2008-01-24T15:24:16+01:00algorithm based clustering community density detection <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Falkowski" itemprop="url" href="/author/Tanja%20Falkowski"><span itemprop="name">T. Falkowski</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Anja Barth" itemprop="url" href="/author/Anja%20Barth"><span itemprop="name">A. Barth</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Myra Spiliopoulou" itemprop="url" href="/author/Myra%20Spiliopoulou"><span itemprop="name">M. Spiliopoulou</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence,</span>, </em></span><em>Seite <span itemprop="pagination">112-115</span>. </em>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Thu Jan 24 15:24:16 CET 2008In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence,112-115DENGRAPH: A Density-based Community Detection Algorithm2007algorithm based clustering community density detection Tanja FalkowskiTrawling the Web for emerging cyber-communitieshttps://puma.uni-kassel.de/bibtex/2e1ce1b53c051efa1892dbc3b09643c31/stummestumme2007-12-14T17:14:10+01:00communities community detection web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ravi Kumar" itemprop="url" href="/author/Ravi%20Kumar"><span itemprop="name">R. Kumar</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sridhar Rajagopalan" itemprop="url" href="/author/Sridhar%20Rajagopalan"><span itemprop="name">S. Rajagopalan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrew Tomkins" itemprop="url" href="/author/Andrew%20Tomkins"><span itemprop="name">A. Tomkins</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>Computer Networks</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">31 </span></span>(<span itemprop="issueNumber">11--16</span>):
<span itemprop="pagination">1481--1493</span></em> </span>(<em><span>1999<meta content="1999" itemprop="datePublished"/></span></em>)Fri Dec 14 17:14:10 CET 2007Computer Networks 11--161481--1493Trawling the {Web} for emerging cyber-communities311999communities community detection web Wege zur Entdeckung von Communities in Folksonomieshttps://puma.uni-kassel.de/bibtex/22b6be3bd5daee7119973fcf69909956f/stummestumme2007-03-22T17:47:57+01:002006 bibsonomy communities community detection itegpub l3s myown nepomuk tagging <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</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>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</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">Proc. 18. Workshop Grundlagen von Datenbanken</span>, </em></span><em>Seite <span itemprop="pagination">80-84</span>. </em><em>Halle-Wittenberg, </em><em><span itemprop="publisher">Martin-Luther-Universität</span>, </em>(<em><span>Juni 2006<meta content="Juni 2006" itemprop="datePublished"/></span></em>)Thu Mar 22 17:47:57 CET 2007Halle-WittenbergProc. 18. Workshop Grundlagen von DatenbankenJune80-84Wege zur Entdeckung von Communities in Folksonomies20062006 bibsonomy communities community detection itegpub l3s myown nepomuk tagging Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "`Web 2.0"' -- stellen
Folksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und
mit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen
ein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur
Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies.Trend Detection in Folksonomieshttps://puma.uni-kassel.de/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/stummestumme2007-01-29T19:11:03+01:002006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic <span class="authorEditorList"><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>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</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">Proc. First International Conference on Semantics And Digital Media Technology (SAMT)</span>, </em></span><em>Volume 4306 von LNCS, </em><em>Seite <span itemprop="pagination">56-70</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Dezember 2006<meta content="Dezember 2006" itemprop="datePublished"/></span></em>)Mon Jan 29 19:11:03 CET 2007HeidelbergProc. First International Conference on Semantics And Digital Media Technology (SAMT) dec56-70LNCSTrend Detection in Folksonomies430620062006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic As the number of resources on the web exceeds by far the number of
documents one can track, it becomes increasingly difficult to remain
up to date on ones own areas of interest. The problem becomes more
severe with the increasing fraction of multimedia data, from which
it is difficult to extract some conceptual description of their
contents.
One way to overcome this problem are social bookmark tools, which
are rapidly emerging on the web. In such systems, users are setting
up lightweight conceptual structures called folksonomies, and
overcome thus the knowledge acquisition bottleneck. As more and more
people participate in the effort, the use of a common vocabulary
becomes more and more stable. We present an approach for discovering
topic-specific trends within folksonomies. It is based on a
differential adaptation of the PageRank algorithm to the triadic
hypergraph structure of a folksonomy. The approach allows for any
kind of data, as it does not rely on the internal structure of the
documents. In particular, this allows to consider different data
types in the same analysis step. We run experiments on a large-scale
real-world snapshot of a social bookmarking system.