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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Falkowski, T. & Barth, A. Density-based Temporal Graph Clustering for Subgroup Detection in Social Networks 2007   unpublished  
BibTeX:
@unpublished{FalBar07,
  author = {Falkowski, Tanja and Barth, Anja},
  title = {Density-based Temporal Graph Clustering for Subgroup Detection in Social Networks},
  year = {2007},
  note = {Presented at The 4th conference on Applications of Social Network Analysis (ASNA)}
}
Falkowski, T. & Barth, A. Density-based Temporal Graph Clustering for Subgroup Detection in Social Networks 2007   unpublished  
BibTeX:
@unpublished{FalBar07,
  author = {Falkowski, Tanja and Barth, Anja},
  title = {Density-based Temporal Graph Clustering for Subgroup Detection in Social Networks},
  year = {2007},
  note = {Presented at The 4th conference on Applications of Social Network Analysis (ASNA)}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmark Sites 2007 Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)   inproceedings URL  
BibTeX:
@inproceedings{grahl07conceptualKdml,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmark Sites},
  booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  year = {2007},
  pages = {50-54},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmark Sites 2007 Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)   inproceedings URL  
BibTeX:
@inproceedings{grahl07conceptualKdml,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmark Sites},
  booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  year = {2007},
  pages = {50-54},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmark Sites 2007 Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)   inproceedings URL  
BibTeX:
@inproceedings{grahl07conceptualKdml,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmark Sites},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  year = {2007},
  pages = {50-54},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmarking Sites 2007 7th International Conference on Knowledge Management (I-KNOW '07)   inproceedings URL  
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
BibTeX:
@inproceedings{grahl2007clustering,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  publisher = {Know-Center},
  year = {2007},
  pages = {356-364},
  url = {/brokenurl#www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf}
}
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmarking Sites 2007 7th International Conference on Knowledge Management (I-KNOW '07)   inproceedings  
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
BibTeX:
@inproceedings{grahl2007clustering,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  publisher = {Know-Center},
  year = {2007},
  pages = {356-364}
}
Heymann, P. & Garcia-Molina, H. Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems 2006 School: Standford University   techreport URL  
Abstract: Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.
BibTeX:
@techreport{citeulike:739394,
  author = {Heymann, Paul and Garcia-Molina, Hector},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  school = {Standford University},
  year = {2006},
  number = {2006-10},
  url = {http://dbpubs.stanford.edu:8090/pub/2006-10}
}
Newman, M. Fast algorithm for detecting community structure in networks 2003 Physical Review E   article URL  
BibTeX:
@article{newman03fast,
  author = {Newman, M.E.J.},
  title = {Fast algorithm for detecting community structure in networks},
  journal = {Physical Review E},
  year = {2003},
  volume = {69},
  url = {http://arxiv.org/abs/cond-mat/0309508}
}

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