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

14 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5015-5028
Number of pages14
JournalMultimedia Tools and Applications
Volume74
Issue number14
DOIs
Publication statusPublished - 2015 Jul 1

Keywords

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

ASJC Scopus subject areas

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

Cite this