@misc{quintarelli2005folksonomies,
  abstract = {In recent times, an unprecedented amount of Web content has begun to be generated through web logs, wikis and other social tools thanks to lower technology and cost barriers. A new host of content creators is emerging, often individuals with the will to participate in discussions and share their ideas with like-minded people. This is to say that this increasing amount of varied, valuable content is generated by non-trained, non-expert information professionals: they are at the same time users and producers of information.  We have gone past a critical mass of connectivity between people that has introduced a new revolutionary ability to communicate, collaborate and share goods online.  To respond to these increased informational and exchange needs, new communication models are emerging and producing an incredible amount of distributed information that information management professionals, information architects, librarians and knowledge workers at large need to link, aggregate, and organize in order to extract knowledge.  The issue is whether the traditional organizational schemes used so far are suitable to address the classification needs of fast-proliferating, new information sources or if, to achieve this goal, better aggregation and concept matching tools are required.  Folksonomies attempt to provide a solution to this issue, by introducing an innovative distributed approach based on social classification.},
  author = {Quintarelli, Emanuele},
  file = {quintarelli2005folksonomies.pdf:quintarelli2005folksonomies.pdf:PDF},
  interhash = {8295fa26b7b50658f38c92b5f6e3d183},
  intrahash = {857ef9d1c4704b459f218fa967056daf},
  lastdatemodified = {2006-10-09},
  lastname = {Quintarelli},
  month = {June},
  own = {own},
  pdf = {quintarelli05-folksonomies.pdf},
  read = {read},
  title = {Folksonomies: power to the people},
  url = {http://www-dimat.unipv.it/biblio/isko/doc/folksonomies.htm},
  year = 2005
}

@article{golder2006structurec,
  abstract = {Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.},
  author = {Golder, Scott and Huberman, Bernardo A.},
  file = {golder2006structure.pdf:golder2006structure.pdf:PDF},
  groups = {public},
  interhash = {03565ad9c6fc315068e528a53ed158ae},
  intrahash = {f26e96f09d59ba7d33d5339fa5d4891b},
  journal = {Journal of Information Sciences},
  journalpub = {1},
  lastdatemodified = {2007-04-27},
  lastname = {Golder},
  month = {April},
  number = 2,
  own = {own},
  pages = {198--208},
  pdf = {golder06-structure.pdf},
  read = {readnext},
  timestamp = {2011-01-28 11:35:13},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://.hpl.hp.com/research/idl/papers/tags/index.html},
  username = {dbenz},
  volume = 32,
  year = 2006
}