@inproceedings{ilprints956,
  abstract = {A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise has remained relatively unexamined. Using library data, we test the tagging approach to organizing a collection. We find that tagging systems have three major large scale organizational features: consistency, quality, and completeness. In addition to testing these features, we present results suggesting that users produce tags similar to the topics designed by experts, that paid tagging can effectively supplement tags in a tagging system, and that information integration may be possible across tagging systems.},
  author = {Heymann, Paul and Paepcke, Andreas and Garcia-Molina, Hector},
  booktitle = {Third ACM International Conference on Web Search and Data Mining (WSDM2010)},
  interhash = {d4f72ed57e6b99dbe32e18e218d81ef5},
  intrahash = {6aaa478f3700f435ec3a1c1cba0046da},
  month = {February},
  pages = {1--10},
  publisher = {Stanford University},
  title = {Tagging Human Knowledge},
  url = {http://ilpubs.stanford.edu:8090/956/},
  year = 2010
}

@article{ciro2006semiotic,
  abstract = {Abstract  A distributed classification paradigm known as collaborative tagging has been successfully deployed in large-scale web applications designed to manage and share diverse online resources. Users of these applications organize resources by associating with them freely chosen text labels, or tags. Here we regard tags as basic dynamical entities and study the semiotic dynamics underlying collaborative tagging. We collect data from a popular system and focus on tags associated with a given resource.We find that the frequencies of tags obey to a generalized Zipf’s law and show that a Yule–Simon process with memory can beused to explain the observed frequency distributions in terms of a simple model of user behavior},
  author = {Cattuto, Ciro},
  interhash = {6651fe8b8916e8407f738325c092b860},
  intrahash = {86a43b0d0b4956b3ff6b553f78277ec9},
  journal = {The European Physical Journal C - Particles and Fields},
  month = {#aug#},
  number = 0,
  pages = {33--37},
  title = {Semiotic dynamics in online social communities},
  url = {http://dx.doi.org/10.1140/epjcd/s2006-03-004-4},
  volume = 46,
  year = 2006
}

@inproceedings{1180904,
  abstract = {A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.},
  address = {New York, NY, USA},
  author = {Sen, Shilad and Lam, Shyong K. and Rashid, Al Mamunur and Cosley, Dan and Frankowski, Dan and Osterhouse, Jeremy and Harper, F. Maxwell and Riedl, John},
  booktitle = {CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work},
  doi = {http://doi.acm.org/10.1145/1180875.1180904},
  interhash = {96b20bffcbc91e528461529935524b90},
  intrahash = {582641c05e7a0b9396945a951822c83f},
  isbn = {1-59593-249-6},
  location = {Banff, Alberta, Canada},
  pages = {181--190},
  publisher = {ACM},
  title = {tagging, communities, vocabulary, evolution},
  url = {http://portal.acm.org/citation.cfm?id=1180904},
  year = 2006
}

@misc{cattuto-2007,
  author = {Cattuto, Ciro and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio},
  interhash = {7de017393b2d48335e209a9db23e08b6},
  intrahash = {4d6bfbd16ba976f4a4aae985c2a92449},
  title = {Vocabulary growth in collaborative tagging systems},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0704.3316},
  year = 2007
}