%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

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 & out views serve as visualizationmethods on different aspects of the clusters’ structure, in order to evaluate theefficiency of the approach.

%B J. Intell. Inf. Syst. %V 38 %P 685-708 %G eng