@article{ScottA._Golder04012006,
  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 dynamic 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 dynamic model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge. },
  author = {Golder, Scott A. and Huberman, Bernardo A.},
  doi = {10.1177/0165551506062337},
  eprint = {http://jis.sagepub.com/cgi/reprint/32/2/198.pdf},
  interhash = {df675e16fcba9cd0f6afc5c9f2a8a723},
  intrahash = {f67d3599f5282425b8e0e5b383d436a0},
  journal = {Journal of Information Science},
  number = 2,
  pages = {198-208},
  title = {{Usage patterns of collaborative tagging systems}},
  url = {http://jis.sagepub.com/cgi/content/abstract/32/2/198},
  volume = 32,
  year = 2006
}

@inproceedings{golder2008measuring,
  abstract = {The ease and lack of cost associated with taking digital photographs have allowed people to amass large personal photograph collections. These collections contain valuable information about their owners' social relationships. This paper is a preliminary investigation into how digital photo collections can provide useful data for the study of social networks. Results from an analysis of 23 subjects' photo collections demonstrate the feasibility of this approach. The relationship between perceived closeness and network position, as well as future questions, are also discussed.},
  address = {New York, NY, USA},
  author = {Golder, Scott},
  booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
  doi = {http://doi.acm.org/10.1145/1379092.1379104},
  interhash = {73ca403336cffdabdc51489fa798cb53},
  intrahash = {68df40d3dbd6e195a1148bda87592b09},
  isbn = {978-1-59593-985-2},
  location = {Pittsburgh, PA, USA},
  pages = {43--48},
  publisher = {ACM},
  title = {Measuring social networks with digital photograph collections},
  url = {http://portal.acm.org/citation.cfm?id=1379092.1379104},
  year = 2008
}