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

Xiaokang Zhou, Wei Wang, Qun Jin

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)5015-5028
    Number of pages14
    JournalMultimedia Tools and Applications
    Issue number14
    Publication statusPublished - 2015 Jul 1


    • Information behavior analysis
    • Information seeking
    • Social media
    • Social network analysis
    • User attribute description
    • User profiling

    ASJC Scopus subject areas

    • Media Technology
    • Hardware and Architecture
    • Computer Networks and Communications
    • Software

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