Access Restriction

Author Halpin, Harry ♦ Robu, Valentin ♦ Shepherd, Hana
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Structuralist Approach ♦ Basic Dynamic ♦ Complex System ♦ Particular Tag ♦ Collaborative Tag-ging System ♦ User Community ♦ Particular Site ♦ Optimal Mean ♦ Collaborative Tagging ♦ Semantic Web ♦ Web Community ♦ User Behavior ♦ Tag Frequency ♦ Sample Domain ♦ Tag Co-occurrence Network ♦ Currently Million ♦ Generative Model ♦ Social Book-marking Site Del ♦ Coherent Clas-sification Scheme ♦ Classification Scheme ♦ Optimal Tag
Description The debate within the Web community over the optimal means by which to organize information often pits formalized classifications (such as the Semantic Web) against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification schemes can emerge from the user community. Currently millions of users are using collaborative tagging without centrally organizing principles for tagging behavior, which marks a system exhibiting features considered to be indicative of a complex system. If this is the case, it remains to be seem whether user behavior over time leads to emergent classification schemes that could be formalized by the Semantic Web. This paper uses data from “popular ” and newly tagged sites on the social book-marking site to examine the dynamics of such collaborative tagging systems, in particular whether the distribution of tag frequencies stabilizes, indicating a degree of cohesion or consensus among users about the optimal tags to describe particular sites. We use tag co-occurrence networks for a sample domain of tags to analyze the meaning of particular tags given their relationship to other tags (using a structuralist approach to meaning) and automatically create an ontology. We also produce a generative model of collaborative tagging in order to model and understand some of the basic dynamics behind the process.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01