%0 
%0 Journal Article
%A Atzmueller, Martin; Doerfel, Stephan & Mitzlaff, Folke
%D 2015
%T Description-oriented community detection using exhaustive subgroup discovery 
%E 
%B Information Sciences 
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%2 Description-oriented community detection using exhaustive subgroup discovery
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%F atzmueller2015descriptionoriented
%K subgroups, estimate, discovery, optimistic, inpress, community, myown
%X Abstract Communities can intuitively be defined as subsets of nodes of a graph with a dense structure in the corresponding subgraph. However, for mining such communities usually only structural aspects are taken into account. Typically, no concise nor easily interpretable community description is provided. For tackling this issue, this paper focuses on description-oriented community detection using subgroup discovery. In order to provide both structurally valid and interpretable communities we utilize the graph structure as well as additional descriptive features of the graph’s nodes. A descriptive community pattern built upon these features then describes and identifies a community, i.e., a set of nodes, and vice versa. Essentially, we mine patterns in the “description space” characterizing interesting sets of nodes (i.e., subgroups) in the “graph space”; the interestingness of a community is evaluated by a selectable quality measure. We aim at identifying communities according to standard community quality measures, while providing characteristic descriptions of these communities at the same time. For this task, we propose several optimistic estimates of standard community quality functions to be used for efficient pruning of the search space in an exhaustive branch-and-bound algorithm. We demonstrate our approach in an evaluation using five real-world data sets, obtained from three different social media applications. 
%Z 
%U http://www.sciencedirect.com/science/article/pii/S0020025515003667
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%0 
%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its Applications for Ubiquitous Social Computing
%E 
%B New Review of Hypermedia and Multimedia
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%N 1
%P 53--77
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%K itegpub, 2014, myown
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%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its applications for ubiquitous social computing
%E 
%B New Review of Hypermedia and Multimedia
%C 
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%2 Taylor & Francis Online
%3 article
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%F atzmueller2014ubicon
%K itegpub, 2014, myown
%X The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.
%Z 
%U http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488
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%0 
%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its Applications for Ubiquitous Social Computing
%E 
%B New Review of Hypermedia and Multimedia
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%F ubicon-2014a
%K itegpub, 2014, myown
%X The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.
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%U 
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%0 
%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its Applications for Ubiquitous Social Computing
%E 
%B New Review of Hypermedia and Multimedia
%C 
%I 
%V 1
%6
%N 20
%P 53--77
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%F mueller-2014b
%K ubiquitous, ubicon, social, 2014, computing, myown, applications
%X The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.
%Z 
%U http://dx.doi.org/10.1080/13614568.2013.873488
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%^

%0 
%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its Applications for Ubiquitous Social Computing
%E 
%B New Review of Hypermedia and Multimedia
%C 
%I 
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%6
%N 1
%P 53--77
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%F atzmueller2014ubicon
%K ubiquitous, ubicon, social, 2014, myown, analytics, mining
%X The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.
%Z 
%U http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488
%+
%^

%0 
%0 Journal Article
%A Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen & Stumme, Gerd
%D 2014
%T Ubicon and its applications for ubiquitous social computing
%E 
%B New Review of Hypermedia and Multimedia
%C 
%I 
%V 20
%6
%N 1
%P 53-77
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%2 Taylor & Francis Online
%3 article
%4 
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%F atzmueller2014ubicon
%K recommender, framework, ubicon, social, 2014, computing, myown
%X The combination of ubiquitous and social computing is an emerging
 research area which integrates different but complementary methods,
 techniques and tools. In this paper, we focus on the Ubicon platform,
 its applications, and a large spectrum of analysis results.
 
 
 Ubicon provides an extensible framework for building and hosting applications
 targeting both ubiquitous and social environments. We summarize the
 architecture and exemplify its implementation using four real-world
 applications built on top of Ubicon. In addition, we discuss several
 scientific experiments in the context of these applications in order
 to give a better picture of the potential of the framework, and discuss
 analysis results using several real-world data sets collected utilizing
 Ubicon.
%Z 
%U http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488
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%^

%0 
%0 Conference Proceedings
%A Mitzlaff, Folke; Doerfel, Stephan; Hotho, Andreas; Jäschke, Robert & Mueller, Juergen
%D 2014
%T Summary of the 15th Discovery Challenge: Recommending Given Names
%E 
%B 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings
%C Aachen, Germany
%I CEUR-WS
%V 1120
%6
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%P 7--24
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%F mitzlaff2014summary
%K RecSys, workshop, nameling, summary, 2014, ECMLPKDD, myown, KDE, inproceedings
%X The 15th ECML PKDD Discovery Challenge centered around the recommendation
 of given names. Participants of the challenge implemented algorithms
 that were tested both offline - on data collected by the name search
 engine Nameling - and online within Nameling. Here, we describe both
 tasks in detail and discuss the publicly available datasets. We motivate
 and explain the chosen evaluation of the challenge, and we summarize
 the different approaches applied to the name recommendation tasks.
 Finally, we present the rankings and winners of the offline and the
 online phase.
%Z 
%U http://ceur-ws.org/Vol-1120/
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%0 
%0 Journal Article
%A Mitzlaff, Folke; Atzmueller, Martin; Hotho, Andreas & Stumme, Gerd
%D 2014
%T The Social Distributional Hypothesis
%E 
%B Journal of Social Network Analysis and Mining
%C 
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%V 4
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%N 216
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%K itegpub, 2014, myown
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%0 Journal Article
%A Mitzlaff, Folke; Atzmueller, Martin; Hotho, Andreas & Stumme, Gerd
%D 2014
%T The social distributional hypothesis: a pragmatic proxy for homophily in online social networks
%E 
%B Social Network Analysis and Mining
%C 
%I Springer Vienna
%V 4
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%N 1
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%2 The social distributional hypothesis: a pragmatic proxy for homophily in online social networks - Springer
%3 article
%4 
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%$ 
%F noKey
%K social, hypothesis, 2014, distributional, myown, proxy, pragmatic
%X Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the 
%Z 
%U http://dx.doi.org/10.1007/s13278-014-0216-2
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%0 
%0 Journal Article
%A Mitzlaff, Folke; Atzmueller, Martin; Hotho, Andreas & Stumme, Gerd
%D 2014
%T The social distributional hypothesis: a pragmatic proxy for homophily in online social networks
%E 
%B Social Network Analysis and Mining
%C 
%I Springer Vienna
%V 4
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%2 The social distributional hypothesis: a pragmatic proxy for homophily in online social networks - Springer
%3 article
%4 
%# 
%$ 
%F mitzlaff2014social
%K sitc, itegpub, social, hypothesis, 2014, distributional, myown
%X Applications of the Social Web are ubiquitous and have become an integral part of everyday life: Users make friends, for example, with the help of online social networks, share thoughts via Twitter, or collaboratively write articles in Wikipedia. All such interactions leave digital traces; thus, users participate in the creation of heterogeneous, distributed, collaborative data collections. In linguistics, the 
%Z 
%U http://dx.doi.org/10.1007/s13278-014-0216-2
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%^

%0 
%0 Generic
%A Mitzlaff, Folke & Stumme, Gerd
%D 2013
%T Recommending Given Names
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%F mitzlaff2013recommending
%K namling, recommender
%X All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective.   The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new \NR algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction accuracy and runtime performance as well as its ability to generate personalized recommendations. We also show, how the gathered inter-name relationships can be used for meaningful result diversification of PageRank-based recommendation systems.   As all of the considered usage data is made publicly available, the present work establishes baseline results, encouraging other researchers to implement advanced recommendation systems for given names.
%Z cite arxiv:1302.4412Comment: Baseline results for the ECML PKDD Discovery Challenge 2013
%U http://arxiv.org/abs/1302.4412
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%0 
%0 Journal Article
%A Mitzlaff, Folke; Atzmueller, Martin; Benz, Dominik; Hotho, Andreas & Stumme, Gerd
%D 2013
%T User-Relatedness and Community Structure in Social Interaction Networks
%E 
%B CoRR/abs
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%V 1309.3888
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%F mitzlaff2013userrelatedness
%K venus, itegpub, ubiquitous, social, l3s, 2013, myown, iteg, data, mining, web
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%0 
%0 Journal Article
%A Mitzlaff, Folke; Atzmueller, Martin; Benz, Dominik; Hotho, Andreas & Stumme, Gerd
%D 2013
%T User-Relatedness and Community Structure in Social Interaction Networks.
%E 
%B CoRR
%C 
%I 
%V abs/1309.3888
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%F journals/corr/MitzlaffABHS13
%K relatedness, social, structure, bibsonomy, user
%X 
%Z 
%U http://dblp.uni-trier.de/db/journals/corr/corr1309.html#MitzlaffABHS13
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%0 
%0 Journal Article
%A Mitzlaff, Folke & Stumme, G
%D 2012
%T Relatedness of given names
%E 
%B Human Journal
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%V 1
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%N 4
%P 205--217
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%K relatedness, similarity, nameling, cosine
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%0 
%0 Book Section
%A Mitzlaff, Folke; Atzmueller, Martin; Benz, Dominik; Hotho, Andreas & Stumme, Gerd
%D 2011
%T Community Assessment Using Evidence Networks
%E Atzmueller, Martin; Hotho, Andreas; Strohmaier, Markus & Chin, Alvin
%B Analysis of Social Media and Ubiquitous Data
%C 
%I Springer Berlin Heidelberg
%V 6904
%6
%N 
%P 79-98
%& 
%Y 
%S Lecture Notes in Computer Science
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%@ 978-3-642-23598-6
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%2 Community Assessment Using Evidence Networks - Springer
%3 incollection
%4 
%# 
%$ 
%F mitzlaff2011community
%K tagging, networks, evidence, community, aboutBibSonomy
%X 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.
%Z 
%U http://dx.doi.org/10.1007/978-3-642-23599-3_5
%+
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%0 
%0 Conference Proceedings
%A Mitzlaff, Folke; Atzmueller, Martin; Stumme, Gerd & Hotho, Andreas
%D 2011
%T On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)
%E 
%B Proc. LWA 2013 (KDML Special Track)
%C Bamberg, Germany
%I University of Bamberg
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%F MASH:13b
%K ubiquitous, social, 2013, myown, mining
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%0 
%0 Journal Article
%A Benz, Dominik; Hotho, Andreas; J\"a,schke, Robert; Krause, Beate; Mitzlaff, Folke; Schmitz, Christoph & Stumme, Gerd
%D 2010
%T The Social Bookmark and Publication Management System Bibsonomy
%E 
%B The VLDB Journal
%C 
%I Springer-Verlag New York, Inc.
%V 19
%6
%N 6
%P 849--875
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%8 December
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%2 The social bookmark and publication management system bibsonomy
%3 article
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%$ 
%F Benz:2010:SBP:1921763.1921804
%K publicationmanagment, bookmark, publikationsmanagment, social, myown, bibsonomy, publication, management
%X Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.
%Z 
%U http://dx.doi.org/10.1007/s00778-010-0208-4
%+
%^

%0 
%0 Journal Article
%A Benz, Dominik; Hotho, Andreas; J\"a,schke, Robert; Krause, Beate; Mitzlaff, Folke; Schmitz, Christoph & Stumme, Gerd
%D 2010
%T The Social Bookmark and Publication Management System Bibsonomy
%E 
%B The VLDB Journal
%C 
%I Springer-Verlag New York, Inc.
%V 19
%6
%N 6
%P 849--875
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%8 December
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%2 The social bookmark and publication management system bibsonomy
%3 article
%4 
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%$ 
%F benz2010social
%K bookmark, social, benz
%X Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.
%Z 
%U http://dx.doi.org/10.1007/s00778-010-0208-4
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%^

%0 
%0 Journal Article
%A Benz, Dominik; Hotho, Andreas; J\"a,schke, Robert; Krause, Beate; Mitzlaff, Folke; Schmitz, Christoph & Stumme, Gerd
%D 2010
%T The Social Bookmark and Publication Management System Bibsonomy
%E 
%B The VLDB Journal
%C 
%I Springer-Verlag New York, Inc.
%V 19
%6
%N 6
%P 849--875
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%S 
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%8 December
%9
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%2 The social bookmark and publication management system bibsonomy
%3 article
%4 
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%$ 
%F benz2010social
%K bookmark, bibtex, social, publication, management
%X Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.
%Z 
%U http://dx.doi.org/10.1007/s00778-010-0208-4
%+
%^