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.
What is the role, place and benefits of emergent bottom-up classification?
Tagging is taking hold, if we like it or not. Del.icio.us, Flick'r, Technorati and other applications are leading the way, showing how user-applied tags can be useful, social and self-maintaining. This interview cove
?. Proceedings of the International Workshop on Web 3.0: Merging Semantic Web and Social Web (in conjunction with the 20th International Conference on Hypertext and Hypermedia 2009), Torino, Italy, (июня 2009)
K. Dellschaft, и S. Staab. HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, стр. 71--80. New York, NY, USA, ACM, (2008)