@incollection{lorince2015analysis,
  abstract = {In collaborative tagging systems, it is generally assumed that users assign tags to facilitate retrieval of content at a later time. There is, however, little behavioral evidence that tags actually serve this purpose. Using a large-scale dataset from the social music website Last.fm, we explore how patterns of music tagging and subsequent listening interact to determine if there exist measurable signals of tags functioning as retrieval aids. Specifically, we describe our methods for testing if the assignment of a tag tends to lead to an increase in listening behavior. Results suggest that tagging, on average, leads to only very small increases in listening rates, and overall the data do },
  author = {Lorince, Jared and Joseph, Kenneth and Todd, PeterM.},
  booktitle = {Social Computing, Behavioral-Cultural Modeling, and Prediction},
  doi = {10.1007/978-3-319-16268-3_15},
  editor = {Agarwal, Nitin and Xu, Kevin and Osgood, Nathaniel},
  interhash = {b6f817ca50d1c44886c9ed58facbf592},
  intrahash = {1485f6521c6ae2db520d1a7c3c429f07},
  isbn = {978-3-319-16267-6},
  language = {English},
  pages = {141-152},
  publisher = {Springer International Publishing},
  series = {Lecture Notes in Computer Science},
  title = {Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?},
  url = {http://dx.doi.org/10.1007/978-3-319-16268-3_15},
  volume = 9021,
  year = 2015
}

@inproceedings{lorince2014supertagger,
  author = {Lorince, Jared and Zorowitz, Sam and Murdock, Jaimie and Todd, Peter},
  interhash = {4af29810e9c882dc18f560527c65de2f},
  intrahash = {014abc7dc30e38859c5e8605dce1a8f6},
  title = {“Supertagger” Behavior in Building Folksonomies},
  year = 2014
}

@inproceedings{heckner2009personal,
  address = {San Jose, CA, USA},
  author = {Heckner, Markus and Heilemann, Michael and Wolff, Christian},
  booktitle = {Int'l AAAI Conference on Weblogs and Social Media (ICWSM)},
  interhash = {f954e699dc6ca2d0abbe5f6ebe166dc7},
  intrahash = {d1074484ea350ad88400fe4fc6984874},
  month = may,
  title = {Personal Information Management vs. Resource Sharing: Towards a Model of Information Behaviour in Social Tagging Systems},
  year = 2009
}

@techreport{doerfel2014course,
  abstract = {Social tagging systems have established themselves as an important part in
today's web and have attracted the interest from our research community in a
variety of investigations. The overall vision of our community is that simply
through interactions with the system, i.e., through tagging and sharing of
resources, users would contribute to building useful semantic structures as
well as resource indexes using uncontrolled vocabulary not only due to the
easy-to-use mechanics. Henceforth, a variety of assumptions about social
tagging systems have emerged, yet testing them has been difficult due to the
absence of suitable data. In this work we thoroughly investigate three
available assumptions - e.g., is a tagging system really social? - by examining
live log data gathered from the real-world public social tagging system
BibSonomy. Our empirical results indicate that while some of these assumptions
hold to a certain extent, other assumptions need to be reflected and viewed in
a very critical light. Our observations have implications for the design of
future search and other algorithms to better reflect the actual user behavior.},
  author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus},
  interhash = {65f287480af20fc407f7d26677f17b72},
  intrahash = {e360f0bd207806e72305efe16491ebe3},
  note = {cite arxiv:1401.0629},
  title = {Of course we share! Testing Assumptions about Social Tagging Systems},
  url = {http://arxiv.org/abs/1401.0629},
  year = 2014
}

@inproceedings{TM06,
  author = {Tosic, Milorad and Milicevic, Valentina},
  booktitle = {Proc. of the 2nd Workshop on Scripting for the Semantic Web, Colocated with ESWC 2006, Budva, Montenegro},
  citeulike-article-id = {2162732},
  interhash = {210bbf3d070fb10d1d01383669aac114},
  intrahash = {130dca8ecbb764f333199c4e3970f606},
  priority = {2},
  title = {The Semantics of Collaborative Tagging Systems},
  url = {http://www.semanticscripting.org/SFSW2006/Paper6.pdf},
  year = 2006
}

@inproceedings{citeulike:688160,
  address = {New York, NY, USA},
  author = {Dubinko, Micah and Kumar, Ravi and Magnani, Joseph and Novak, Jasmine and Raghavan, Prabhakar and Tomkins, Andrew},
  booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
  citeulike-article-id = {688160},
  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1135777.1135810},
  citeulike-linkout-1 = {http://dx.doi.org/10.1145/1135777.1135810},
  doi = {10.1145/1135777.1135810},
  interhash = {b9ff2f72831a1406013a86c8202d6276},
  intrahash = {cca8a679a78e2bced9a5cc268cfd3aaa},
  isbn = {1595933239},
  pages = {193--202},
  posted-at = {2008-04-27 18:08:29},
  priority = {5},
  publisher = {ACM Press},
  title = {Visualizing tags over time},
  url = {http://dx.doi.org/10.1145/1135777.1135810},
  year = 2006
}

@inproceedings{cattuto2008semantic,
  abstract = {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.},
  address = {Berlin/Heidelberg},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {The Semantic Web -- ISWC 2008},
  doi = {10.1007/978-3-540-88564-1_39},
  editor = {Sheth, Amit P. and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy W. and Thirunarayan, Krishnaprasad},
  interhash = {b44538648cfd476d6c94e30bc6626c86},
  intrahash = {466f25c93d5e9c13ca5689191ef711ee},
  isbn = {978-3-540-88563-4},
  pages = {615--631},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Semantic Grounding of Tag Relatedness in Social Bookmarking Systems},
  url = {http://cxnets.googlepages.com/cattuto_iswc2008.pdf},
  volume = 5318,
  year = 2008
}

@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},
  interhash = {59b1bd0ed96f41d2c3c98ff232df5dd2},
  intrahash = {8d265ea13915a79ec08fe13b8e7074c7},
  note = {cite arxiv:cs/0605015 Comment: 8 pages, 7 figures},
  title = {Collaborative Tagging and Semiotic Dynamics},
  url = {http://arxiv.org/abs/cs/0605015},
  year = 2006
}

@inproceedings{mika2005ontologies,
  abstract = {In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies...},
  author = {Mika, Peter},
  booktitle = {International Semantic Web Conference},
  citeulike-article-id = {1020245},
  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2861},
  interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb},
  intrahash = {399364f1c39abf3efcc19cb0de12f40c},
  month = {November},
  organization = {International Semantic Web Conference 2005},
  pages = {522--536},
  posted-at = {2008-04-27 15:43:44},
  priority = {5},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Ontologies Are Us: A unified model of social networks and semantics},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2861},
  volume = 3729,
  year = 2005
}