finding their way into everyday life, there is a rapidly growing amount of user
generated content yielding explicit and implicit network structures. We
consider social activities and phenomena as proxies for user relatedness. Such
activities are represented in so-called social interaction networks or evidence
networks, with different degrees of explicitness. We focus on evidence networks
containing relations on users, which are represented by connections between
individual nodes. Explicit interaction networks are then created by specific
user actions, for example, when building a friend network. On the other hand,
more implicit networks capture user traces or evidences of user actions as
observed in Web portals, blogs, resource sharing systems, and many other social
services. These implicit networks can be applied for a broad range of analysis
methods instead of using expensive gold-standard information.
In this paper, we analyze different properties of a set of networks in social
media. We show that there are dependencies and correlations between the
networks. These allow for drawing reciprocal conclusions concerning pairs of
networks, based on the assessment of structural correlations and ranking
interchangeability. Additionally, we show how these inter-network correlations
can be used for assessing the results of structural analysis techniques, e.g.,
community mining methods. ER - TY - CHAP AU - Atzmueller, Martin AU - Doerfel, Stephan AU - Hotho, Andreas AU - Mitzlaff, Folke AU - Stumme, Gerd A2 - T1 - Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles T2 - Modeling and Mining Ubiquitous Social Media PB - Springer Verlag C1 - Heidelberg, Germany PY - 2012/ VL - 7472 IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf DO - KW - 2012 KW - collective KW - community KW - conference KW - contacts KW - data KW - dynamics KW - face KW - intelligence KW - itegpub KW - kde KW - l3s KW - media KW - mining KW - myown KW - myown KW - 2012 KW - social KW - ubiquitous KW - venus KW - venuspub KW - 2012 L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Atzmueller, Martin T1 - Mining Social Media JO - Informatik Spektrum PY - 2012/ VL - 35 IS - 2 SP - 132 EP - 135 UR - DO - KW - 2012 KW - analysis KW - community KW - data KW - itegpub KW - media KW - sentiment KW - social KW - socialnetworks L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Atzmueller, Martin T1 - Mining Social Media: Key Players, Sentiments, and Communities JO - WIREs: Data Mining and Knowledge Discovery PY - 2012/ VL - In Press IS - SP - EP - UR - DO - KW - 2012 KW - analysis KW - community KW - data KW - detection KW - itegpub KW - mining KW - network KW - opinion KW - sentiment KW - social KW - venus KW - vikamine L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Doerfel, Stephan AU - Jäschke, Robert AU - Stumme, Gerd A2 - Domenach, F. A2 - Ignatov, D.I. A2 - Poelmans, J. T1 - Publication Analysis of the Formal Concept Analysis Community T2 - ICFCA 2012 PB - Springer C1 - Berlin/Heidelberg PY - 2012/ CY - VL - 7278 IS - SP - 77 EP - 95 UR - https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf DO - KW - 2012 KW - analysis KW - community KW - concept KW - fca KW - home KW - info20pub KW - itegpub KW - l3s KW - myown KW - scientometrics L1 - SN - N1 - N1 - AB - We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
ER - TY - CONF AU - Atzmueller, Martin AU - Doerfel, Stephan AU - Hotho, Andreas AU - Mitzlaff, Folke AU - Stumme, Gerd A2 - T1 - Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players T2 - Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011 PB - C1 - PY - 2011/ CY - VL - IS - SP - EP - UR - DO - KW - 2011 KW - analysis KW - communities KW - community KW - conferator KW - discovery KW - itegpub KW - knowledge KW - myown KW - rfid L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Kartal, Aliye AU - Doerfel, Stephan AU - Roßnagel, Alexander AU - Stumme, Gerd A2 - Heiß, Hans-Ulrich A2 - Pepper, Peter A2 - Schlingloff, Holger A2 - Schneider, Jörg T1 - Privatsphären- und Datenschutz in Community-Plattformen: Gestaltung von Online-Bewertungsportalen T2 - Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung PB - Bonner Köllen Verlag C1 - PY - 2011/10 CY - VL - 192 IS - SP - EP - UR - http://www.informatik2011.de/541.html DO - KW - 2011 KW - community KW - gi KW - info20 KW - itegpub KW - myown KW - privat L1 - SN - N1 - The print version of the proceedings only contains abstracts. The full paper was published on CD and is available here http://www.user.tu-berlin.de/komm/CD/paper/090222.pdf N1 - AB - Aufgrund der mittlerweile unüberschaubaren Vielfalt von Anwendungsmöglichkeiten des Web 2.0, findet man fast zu jedem Lebensbereich eine passende Community im Netz. Dabei steigt auch die Anzahl der Bewertungsportale stetig und
betrifft längst nicht mehr nur die Bewertung von Waren, sondern erstreckt sich unterdessen auch auf Beurteilungen von Leistungen und Eigenschaften von zu bestimmten Berufsgruppen gehörenden Personen. Diese Entwicklung birgt die Gefahr, dass die
dadurch gewonnenen persönlichen Daten durchaus geeignet sind, wahrheitswidrig ein übermäßig positives oder übermäßig negatives Persönlichkeitsbild des Betroffenen zu konstruieren und dadurch sein Ansehen zu beeinflussen. Im Hinblick auf Fragen im
Zusammenhang mit dem Persönlichkeits- und Datenschutz soll der folgende Beitrag Maßstäbe an eine verfassungs- und datenschutzkonforme technische Gestaltung von Online-Bewertungsportalen aufzeigen. ER - TY - CONF AU - Mitzlaff, Folke AU - Atzmueller, Martin AU - Benz, Dominik AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Community Assessment using Evidence Networks T2 - Analysis of Social Media and Ubiquitous Data PB - C1 - PY - 2011/ CY - VL - 6904 IS - SP - EP - UR - DO - KW - 2011 KW - community KW - itegpub KW - knowledge KW - mining KW - myown L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Mitzlaff, Folke AU - Atzmüller, Martin AU - Benz, Dominik AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Community Assessment using Evidence Networks T2 - Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010) PB - C1 - Barcelona, Spain PY - 2010/ CY - VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/ws/muse2010 DO - KW - 2010 KW - assessment KW - bibsonomy KW - community KW - evaluation KW - evidence KW - itegpub KW - l3s KW - myown KW - networks L1 - SN - N1 - N1 - AB - 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. ER - TY - JOUR AU - Mucha, Peter J. AU - Richardson, Thomas AU - Macon, Kevin AU - Porter, Mason A. AU - Onnela, Jukka-Pekka T1 - Community Structure in Time-Dependent, Multiscale, and Multiplex Networks JO - Science PY - 2010/ VL - 328 IS - 5980 SP - 876 EP - 878 UR - http://www.sciencemag.org/content/328/5980/876.abstract DO - 10.1126/science.1184819 KW - communities KW - community KW - evolving KW - graphs KW - networks KW - time L1 - SN - N1 - Community Structure in Time-Dependent, Multiscale, and Multiplex Networks N1 - AB - Network science is an interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. A prominent problem in network science is the algorithmic detection of tightly connected groups of nodes known as communities. We developed a generalized framework of network quality functions that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices. This framework allows studies of community structure in a general setting encompassing networks that evolve over time, have multiple types of links (multiplexity), and have multiple scales. ER - TY - GEN AU - Noack, Andreas A2 - T1 - Modularity clustering is force-directed layout JO - PB - C1 - PY - 2008/ VL - IS - SP - EP - UR - http://www.citebase.org/abstract?id=oai:arXiv.org:0807.4052 DO - KW - clustering KW - communities KW - community KW - graph KW - layout KW - modularity KW - network KW - sna L1 - N1 - [0807.4052] Modularity clustering is force-directed layout N1 - AB - 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. ER - TY - CONF AU - Falkowski, Tanja AU - Barth, Anja AU - Spiliopoulou, Myra A2 - T1 - DENGRAPH: A Density-based Community Detection Algorithm T2 - In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, PB - C1 - PY - 2007/ CY - VL - IS - SP - 112 EP - 115 UR - http://wwwiti.cs.uni-magdeburg.de/~tfalkows/publ/2007/WI_FalBarSpi07.pdf DO - KW - algorithm KW - based KW - clustering KW - community KW - density KW - detection L1 - SN - N1 - Tanja Falkowski N1 - AB - ER - TY - CONF AU - Jäschke, Robert AU - Hotho, Andreas AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Braß, Stefan A2 - Hinneburg, Alexander T1 - Wege zur Entdeckung von Communities in Folksonomies T2 - Proc. 18. Workshop Grundlagen von Datenbanken PB - Martin-Luther-Universität C1 - Halle-Wittenberg PY - 2006/06 CY - VL - IS - SP - 80 EP - 84 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006wege.pdf DO - KW - 2006 KW - bibsonomy KW - communities KW - community KW - detection KW - itegpub KW - l3s KW - myown KW - nepomuk KW - tagging L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Sen, Shilad AU - Lam, Shyong K. AU - Rashid, Al Mamunur AU - Cosley, Dan AU - Frankowski, Dan AU - Osterhouse, Jeremy AU - Harper, F. Maxwell AU - Riedl, John A2 - T1 - tagging, communities, vocabulary, evolution T2 - CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work PB - ACM C1 - New York, NY, USA PY - 2006/ CY - VL - IS - SP - 181 EP - 190 UR - http://portal.acm.org/citation.cfm?id=1180904 DO - http://doi.acm.org/10.1145/1180875.1180904 KW - communities KW - community KW - evolution KW - folksonomies KW - folksonomy KW - tagging KW - vocabulary L1 - SN - 1-59593-249-6 N1 - tagging, communities, vocabulary, evolution N1 - AB - A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction. ER - TY - GEN AU - A2 - Haase, Peter A2 - Schmitz, Christoph A2 - Sure, York T1 - Ontologies in Peer-to-Peer Communities JO - PB - C1 - Heraklion, Greece PY - 2005/05 VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/ws/ontop2p2005 DO - KW - zff KW - p2p KW - community KW - 2005 L1 - N1 - N1 - AB - ER - TY - CONF AU - Schmitz, Christoph A2 - T1 - Towards Self-Organizing Communities in Peer-to-Peer Knowledge Management T2 - Proc. ESWC 2005 Workshop on Ontologies in Peer-to-Peer Communities PB - C1 - Heraklion, Greece PY - 2005/05 CY - VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/schmitz/publ/ontop2p.pdf DO - KW - zff KW - p2p KW - community KW - 2005 L1 - SN - N1 - N1 - AB - ER - TY - GEN AU - Tyler, Joshua R AU - Wilkinson, Dennis M AU - Huberman, Bernardo A A2 - T1 - Email as Spectroscopy: Automated Discovery of Community Structure within Organizations JO - PB - C1 - PY - 2003/ VL - IS - SP - EP - UR - http://www.citebase.org/cgi-bin/citations?id=oai:arXiv.org:cond-mat/0303264 DO - KW - email KW - seminar2006 KW - network KW - community L1 - N1 - N1 - AB - ER - TY - JOUR AU - Kumar, Ravi AU - Raghavan, Prabhakar AU - Rajagopalan, Sridhar AU - Tomkins, Andrew T1 - Trawling the Web for emerging cyber-communities JO - Computer Networks PY - 1999/ VL - 31 IS - 11--16 SP - 1481 EP - 1493 UR - citeseer.ist.psu.edu/kumar99trawling.html DO - KW - communities KW - community KW - detection KW - web L1 - SN - N1 - N1 - AB - ER -