%0 Journal Article
%J J. Intell. Inf. Syst.
%D 2012
%T In & out zooming on time-aware user/tag clusters
%A Giannakidou, Eirini
%A Vassiliki A. Koutsonikola
%A Athena Vakali
%A Yiannis Kompatsiaris
%K Events
%K Social tagging systems
%K Time-aware clustering
%K Users' interests over time
%X <p>The common ground behind most approaches that analyze social taggingsystems is addressing the information challenge that emerges from the massiveactivity of millions of users who interact and share resources and/or metadata online.However, lack of any time-related data in the analysis process implicitly deniesmuch of the dynamic nature of social tagging activity. In this paper we claim thatholding a temporal dimension, allows for tracking macroscopic and microscopicusers’ interests, detecting emerging trends and recognizing events. To this end, wepropose a time-aware co-clustering approach for acquiring semantic and temporalpatterns out of the tagging activity. The resulted clusters contain both users and tagsof similar patterns over time, and reveal non-obvious or “hidden” relations amongusers and topics of their common interest. Zoom in &amp; out views serve as visualizationmethods on different aspects of the clusters’ structure, in order to evaluate theefficiency of the approach.</p>
%B J. Intell. Inf. Syst.
%V 38
%P 685-708
%G eng