@inproceedings{grahl2007clustering,
  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.},
  address = {Graz, Austria},
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60},
  intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855},
  issn = {0948-695x},
  month = SEP,
  pages = {356-364},
  publisher = {Know-Center},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  vgwort = {14},
  year = 2007
}

@inproceedings{jaschke07recommender,
  author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings},
  editor = {Kok, Joost N. and Koronacki, Jacek and de Mántaras, Ramon López and Matwin, Stan and Mladenic, Dunja and Skowron, Andrzej},
  ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52},
  interhash = {7e212e3bac146d406035adebff248371},
  intrahash = {b8b87c78e9e27a44aacde0402c642bff},
  isbn = {978-3-540-74975-2},
  pages = {506-514},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Tag Recommendations in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf},
  vgwort = {20},
  volume = 4702,
  year = 2007
}

@article{newman0001118,
  author = {Newman, M.E.J.},
  institution = {Santa Fe Institute},
  interhash = {e219a44a920a498d2fcd78876945216f},
  intrahash = {738a4cffd8d031871c9c223f36b258f1},
  journal = {Complexity},
  title = {Small Worlds: The Structure of Social Networks},
  url = {http://www.santafe.edu/research/publications/workingpapers/99-12-080.pdf},
  year = 2000
}

@article{lhfh05social,
  author = {Lund, Ben and Hammond, Tony and Flack, Martin and Hannay, Timo},
  interhash = {46c0a98ab6ccb96ff4722f35781807de},
  intrahash = {13958ef5da2d2133b9b84e9a3cb40da1},
  journal = {D-Lib Magazine},
  month = {April},
  number = 4,
  organization = {{N}ature {P}ublishing {G}roup},
  title = {{S}ocial {B}ookmarking {T}ools ({II}): {A} {C}ase {S}tudy - {C}onnotea},
  volume = 11,
  year = 2005
}

@article{hammond2005sbt,
  author = {Hammond, T. and Hannay, T. and Lund, B. and Scott, J.},
  interhash = {7d45bfed52477dab1181188b70e0c47a},
  intrahash = {e9766a322c9f790909afcd5263e8e710},
  journal = {D-Lib Magazine},
  title = {{Social Bookmarking Tools (I)}},
  year = 2005
}

@misc{golder05structure,
  author = {Golder, Scott and Huberman, Bernardo A.},
  citeulike-article-id = {305755},
  eprint = {cs.DL/0508082},
  interhash = {2d312240f16eba52c5d73332bc868b95},
  intrahash = {f852d7a909fa3edceb04abb7d2a20f71},
  month = Aug,
  priority = {2},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://arxiv.org/abs/cs.DL/0508082},
  year = 2005
}

@techreport{citeulike:739394,
  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.},
  author = {Heymann, Paul and Garcia-Molina, Hector},
  citeulike-article-id = {739394},
  institution = {Computer Science Department},
  interhash = {d77846b40aadb0e25233cabf905bb93e},
  intrahash = {3b4ce6fd7fa6dbf1c39fd261fa39fcd6},
  month = {April},
  number = {2006-10},
  priority = {3},
  school = {Standford University},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  url = {http://dbpubs.stanford.edu:8090/pub/2006-10},
  year = 2006
}

@inproceedings{1124792,
  address = {New York, NY, USA},
  author = {Millen, David R. and Feinberg, Jonathan and Kerr, Bernard},
  booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems},
  doi = {http://doi.acm.org/10.1145/1124772.1124792},
  interhash = {16ee775e6e4149fdabe2386e79340ca2},
  intrahash = {8e8bbf1e7a51b4b1b3852d443f3400c6},
  isbn = {1-59593-372-7},
  location = {Montr\&\#233;al, Qu\&\#233;bec, Canada},
  pages = {111--120},
  publisher = {ACM Press},
  title = {Dogear: Social bookmarking in the enterprise},
  year = 2006
}