User correlation discovery and dynamical profiling based on social streams

Authors:
Xiaokang Zhou;Qun Jin
Affiliations:
Graduate School of Human Sciences, Waseda University, Tokorozawa-shi, Saitama, Japan;Graduate School of Human Sciences, Waseda University, Tokorozawa-shi, Saitama, Japan
Venue:
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Year:
2012

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Abstract

In this study, we try to discover the potential and dynamical user correlations using those reorganized social streams in accordance with users' current interests and needs, in order to assist the information seeking process. We develop a mechanism to build a Dynamical Socialized User Networking (DSUN) model, and define a set of measures (such as interest degree, and popularity degree) and concepts (such as complementary tie, weak tie, and strong tie), which can discover and represent users' current profiling and dynamical correlations. The corresponding algorithms are developed respectively. Based on these, we finally discuss an application scenario of the DSUN model with experiment results.