@techreport{GH05structure,
  author = {Golder, Scott and Huberman, Bernardo A.},
  citeulike-article-id = {305755},
  eprint = {cs.DL/0508082},
  institution = {Information Dynamics Lab, HP Labs    },
  interhash = {2d312240f16eba52c5d73332bc868b95},
  intrahash = {50f762bd270eeda14f71474e3c38795b},
  month = aug,
  priority = {2},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://arxiv.org/abs/cs.DL/0508082},
  year = 2005
}

@misc{citeulike:484851,
  abstract = {We describe online collaborative communities by tripartite networks,
    the nodes being persons, items and tags. We introduce projection
    methods in order to uncover the structures of the networks, i.e.
    communities of users, genre families... <br />To do so, we focus
    on the correlations between the nodes, depending on their profiles,
    and use percolation techniques that consist in removing less correlated
    links and observing the shaping of disconnected islands. The structuring
    of the network is visualised by using a tree representation. The
    notion of diversity in the system is also discussed.},
  author = {Lambiotte, R. and Ausloos, M.},
  citeulike-article-id = {484851},
  comment = {Paper about the three parts USERS, RESOURCES and TAGS.},
  eprint = {cs.DS/0512090},
  interhash = {7a9dab1c733e8e1982d5f91979749ce9},
  intrahash = {65c6f348a54f872fb3e60b4bd64b485b},
  month = dec,
  note = {{\tt arXiv:cs.DS/0512090}},
  priority = {3},
  title = {Collaborative tagging as a tripartite network},
  url = {http://arxiv.org/abs/cs.DS/0512090},
  year = 2005
}

@inproceedings{jaeschke06trias,
  address = {Hong Kong},
  author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  booktitle = {Proceedings of the 6th IEEE International Conference on Data Mining     (ICDM 06)},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162},
  interhash = {b4964c3bdd2991a80873d7080ef6a73e},
  intrahash = {e387c294129e11f4221514d5fa807e26},
  isbn = {0-7695-2701-9},
  issn = {1550-4786},
  month = {December},
  pages = {907-911},
  publisher = {IEEE Computer Society},
  title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006trias.pdf},
  vgwort = {19},
  year = 2006
}

@misc{Cattuto2006,
  abstract = {Collaborative tagging has been quickly gaining ground because of its
    ability to recruit the activity of web users into effectively organizing
    and sharing vast amounts of information. Here we collect data from
    a popular system and investigate the statistical properties of tag
    co-occurrence. We introduce a stochastic model of user behavior embodying
    two main aspects of collaborative tagging: (i) a frequency-bias mechanism
    related to the idea that users are exposed to each other's tagging
    activity; (ii) a notion of memory - or aging of resources - in the
    form of a heavy-tailed access to the past state of the system. Remarkably,
    our simple modeling is able to account quantitatively for the observed
    experimental features, with a surprisingly high accuracy. This points
    in the direction of a universal behavior of users, who - despite
    the complexity of their own cognitive processes and the uncoordinated
    and selfish nature of their tagging activity - appear to follow simple
    activity patterns.},
  author = {Cattuto, Ciro and Loreto, Vittorio and Pietronero, Luciano},
  citeulike-article-id = {695889},
  eprint = {cs/0605015},
  interhash = {59b1bd0ed96f41d2c3c98ff232df5dd2},
  intrahash = {8d265ea13915a79ec08fe13b8e7074c7},
  month = May,
  note = {{\tt arXiv:cs.CY/0605015}},
  priority = {3},
  title = {Collaborative Tagging and Semiotic Dynamics},
  url = {http://arxiv.org/abs/cs/0605015},
  year = 2006
}