@inproceedings{mitzlaff2010community,
  abstract = {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.},
  address = {Barcelona, Spain},
  author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)},
  interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5},
  intrahash = {34d79867b23f41ca2e9f481ee894630f},
  title = {Community Assessment using Evidence Networks},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2010},
  year = 2010
}

@inproceedings{atzmueller2010towards,
  author = {Atzmueller, Martin and Mitzlaff, Folke},
  booktitle = {Workshop on Mining Patterns and Subgroups},
  interhash = {3669737df3d351bf27636b9dc07c13ee},
  intrahash = {2f61938116e8b239fbff58520ecc284c},
  publisher = {Lorentz Center, Leiden, The Netherlands. Awarded with the Best Discovery Award},
  title = {{Towards Mining Descriptive Community Patterns}},
  year = 2010
}

@inproceedings{mitzlaff2010community,
  abstract = {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.},
  address = {Barcelona, Spain},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)},
  interhash = {6d5b307fdf8ceb7dc191788fc4b61299},
  intrahash = {d93c7cc72cd40e027d5421fdafe90a9a},
  title = {Community Assessment using Evidence Networks},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2010},
  year = 2010
}

@article{martin2011enhancing,
  author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd},
  booktitle = {it - Information Technology},
  comment = {doi: 10.1524/itit.2011.0631},
  doi = {10.1524/itit.2011.0631},
  interhash = {e57bff1f73b74e6f1fe79e4b40956c35},
  intrahash = {1dc34c1620c45a9bbd548bb73f989aea},
  issn = {16112776},
  journal = {it - Information Technology},
  month = may,
  number = 3,
  pages = {101--107},
  privnote = {doi: 10.1524/itit.2011.0631},
  publisher = {Oldenbourg Wissenschaftsverlag GmbH},
  title = {Enhancing Social Interactions at Conferences},
  url = {http://dx.doi.org/10.1524/itit.2011.0631},
  volume = 53,
  year = 2011
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin / Heidelberg},
  affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {5eb699b2e53803ca9e5fadf22d8b5966},
  issn = {1066-8888},
  issue = {6},
  journal = {The VLDB Journal},
  keyword = {Computer Science},
  pages = {849-875},
  publisher = {Springer},
  title = {The social bookmark and publication management system bibsonomy},
  url = {http://dx.doi.org/10.1007/s00778-010-0208-4},
  volume = 19,
  year = 2010
}

@inproceedings{mitzlaff2010visit,
  address = {Toronto, Canada},
  author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia},
  file = {mitzlaff2010visit.pdf:mitzlaff2010visit.pdf:PDF},
  interhash = {5584c4c57fcd8eb4663df8b114bcf09c},
  intrahash = {a97c4f7e80dcb666450acf697002155e},
  note = {(to appear)},
  title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2010visit.pdf},
  year = 2010
}

@inproceedings{atzmueller2011efficient,
  author = {Atzmueller, Martin and Mitzlaff, Folke},
  booktitle = {Proc. 24th Intl. FLAIRS Conference},
  interhash = {d70fe826823693b5fd86be48501f2d23},
  intrahash = {be5788e3988f2edeb022f5fbd12097a5},
  publisher = {AAAI Press},
  title = {Efficient Descriptive Community Mining},
  year = 2011
}

@inproceedings{atzmueller2011facetoface,
  author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd},
  booktitle = {Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011},
  interhash = {49e97def917e352ca21ab2e3eb7bd88a},
  intrahash = {1fe037ea2712b205c564243d67840059},
  title = {Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players},
  year = 2011
}

@inproceedings{mitzlaff2011community,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
  intrahash = {0f45e870093c053e6f41f54c14bda46b},
  series = {LNAI},
  title = {{Community Assessment using Evidence Networks}},
  volume = 6904,
  year = 2011
}

@inproceedings{mitzlaff2011community,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  interhash = {1ef065a81ed836dfd31fcc4cd4da133b},
  intrahash = {0f45e870093c053e6f41f54c14bda46b},
  series = {LNAI},
  title = {{Community Assessment using Evidence Networks}},
  volume = 6904,
  year = 2011
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin / Heidelberg},
  affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {5eb699b2e53803ca9e5fadf22d8b5966},
  issn = {1066-8888},
  issue = {6},
  journal = {The VLDB Journal},
  keyword = {Computer Science},
  pages = {849-875},
  publisher = {Springer},
  title = {The social bookmark and publication management system bibsonomy},
  url = {http://dx.doi.org/10.1007/s00778-010-0208-4},
  volume = 19,
  year = 2010
}

@article{atzmueller2011enhancing,
  abstract = {Conferator is a novel social conference system that provides the management of social interactions and context information in ubiquitous and social environments. Using RFID and social networking technology, Conferator provides the means for effective management of personal contacts and according conference information before, during and after a conference. We describe the system in detail, before we analyze and discuss results of a typical application of the Conferator system.},
  address = {München},
  author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd},
  doi = {10.1524/itit.2011.0631},
  interhash = {e57bff1f73b74e6f1fe79e4b40956c35},
  intrahash = {b96a6cf5d9999ca9063b7d7cd229e50d},
  issn = {1611-2776},
  journal = {Information Technology},
  month = may,
  number = 3,
  pages = {101--107},
  publisher = {Oldenbourg Wissenschaftsverlag},
  title = {Enhancing Social Interactions at Conferences},
  url = {http://www.oldenbourg-link.com/doi/abs/10.1524/itit.2011.0631},
  vgwort = {22},
  volume = 53,
  year = 2011
}

@article{atzmueller2011enhancing,
  author = {Atzmueller, Martin and Benz, Dominik and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Macek, Bjoern Elmar and Mitzlaff, Folke and Scholz, Christoph and Stumme, Gerd},
  booktitle = {it - Information Technology},
  comment = {doi: 10.1524/itit.2011.0631},
  doi = {10.1524/itit.2011.0631},
  interhash = {e57bff1f73b74e6f1fe79e4b40956c35},
  intrahash = {1dc34c1620c45a9bbd548bb73f989aea},
  issn = {16112776},
  journal = {it - Information Technology},
  month = may,
  number = 3,
  pages = {101--107},
  privnote = {doi: 10.1524/itit.2011.0631},
  publisher = {Oldenbourg Wissenschaftsverlag GmbH},
  title = {Enhancing Social Interactions at Conferences},
  url = {http://dx.doi.org/10.1524/itit.2011.0631},
  volume = 53,
  year = 2011
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin / Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c9437d5ec56ba949f533aeec00f571e3},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  month = dec,
  number = 6,
  pages = {849--875},
  publisher = {Springer},
  title = {The Social Bookmark and Publication Management System BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf},
  volume = 19,
  year = 2010
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin / Heidelberg},
  affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c72ed831e0d752eb3613f90e45c71c44},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  keyword = {Computer Science},
  number = 6,
  pages = {849-875},
  publisher = {Springer},
  title = {The social bookmark and publication management system bibsonomy},
  url = {http://dx.doi.org/10.1007/s00778-010-0208-4},
  volume = 19,
  year = 2010
}

@inproceedings{mitzlaff2010community,
  abstract = {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 socialbookmarking application BibSonomy. The results indicate that the evidencenetworks reflect the relative rating of the explicit ones very well.},
  address = {Barcelona, Spain},
  author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)},
  file = {:mitzlaff2010community.pdf:PDF},
  interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5},
  intrahash = {34d79867b23f41ca2e9f481ee894630f},
  title = {Community Assessment using Evidence Networks},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2010community.pdf},
  year = 2010
}

@inproceedings{mitzlaff2010visit,
  address = {Toronto, Canada},
  author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia},
  file = {mitzlaff2010visit.pdf:mitzlaff2010visit.pdf:PDF},
  interhash = {5584c4c57fcd8eb4663df8b114bcf09c},
  intrahash = {a97c4f7e80dcb666450acf697002155e},
  note = {(to appear)},
  title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2010visit.pdf},
  year = 2010
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin / Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c9437d5ec56ba949f533aeec00f571e3},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  month = dec,
  number = 6,
  pages = {849--875},
  publisher = {Springer},
  title = {The Social Bookmark and Publication Management System BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf},
  volume = 19,
  year = 2010
}

@article{benz2010social,
  abstract = {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.},
  address = {Berlin/Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  doi = {10.1007/s00778-010-0208-4},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c9437d5ec56ba949f533aeec00f571e3},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  month = dec,
  number = 6,
  pages = {849--875},
  publisher = {Springer},
  title = {The Social Bookmark and Publication Management System {BibSonomy}},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf},
  volume = 19,
  year = 2010
}

@inproceedings{mitzlaff2010community,
  abstract = {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.},
  address = {Barcelona, Spain},
  author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)},
  interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5},
  intrahash = {34d79867b23f41ca2e9f481ee894630f},
  title = {Community Assessment using Evidence Networks},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2010},
  year = 2010
}