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Multi-dimensional attributes and measures for dynamical user profiling in social networking environments

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Abstract

In this study, we concentrate on analyzing and building the dynamical user profiling to describe users’ multi-dimensional features and properties, in order to assist the individualized information seeking and recommendation process in social networking environments. A set of user attributes are introduced and defined to describe the basic user profiling in accordance with the analysis of information behaviors, and several centrality based measures are proposed and developed to describe the users’ importance and contributions with regards to a group of users based on their social connections in the DSUN (Dynamically Socialized User Networking) model. The experimental results are discussed to demonstrate the feasibility and effectiveness of our proposed methods.

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Acknowledgments

The work has been partly supported by 2013 and 2014 Waseda University Grants for Special Research Project No. 2013A-6395, No. 2013B-207, and No. 2014K-6214.

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Authors and Affiliations

  1. Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan

    Xiaokang Zhou, Wei Wang & Qun Jin

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  1. Xiaokang Zhou
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  2. Wei Wang
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  3. Qun Jin
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Correspondence to Qun Jin.

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Zhou, X., Wang, W. & Jin, Q. Multi-dimensional attributes and measures for dynamical user profiling in social networking environments. Multimed Tools Appl 74, 5015–5028 (2015). https://doi.org/10.1007/s11042-014-2230-9

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  • DOI: https://doi.org/10.1007/s11042-014-2230-9

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