Multi-dimensional attributes and measures for dynamical user profiling in social networking environments
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.
user profiling information seeking user attribute description social network analysis information behavior analysis social media