tagging, communities, vocabulary, evolution Authors: Shilad Sen, Shyong K. (Tony) Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, John Riedl Keywords: communities, evolution, social book-marking, tagging, vocabulary
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.
The influence of an interface on the creation of topic maps is an open area for research. Research on tagging behavior is an excellent starting point for such studies.
Question: Would you modify the experimental setup to test the creation of topics? If so, in what way? Why?