An integrated method for social network extraction

• Masahiro Hamasaki, National Institute of Advanced Industrial Science and Technology (AIST), Japan
• Yutaka Matsuo, National Institute of Advanced Industrial Science and Technology (AIST), Japan
• Keisuke Ishida, National Institute of Advanced Industrial Science and Technology (AIST), Japan
• Yoshiyuki Nakamura, National Institute of Advanced Industrial Science and Technology (AIST), Japan
• Takuichi Nishimura, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Full text:

Track: Posters

In this paper, we propose combined method to extract social network. A social networking service (SNS) that manages and stores social networks can become bases for information infrastructure in the future. For that purpose, we propose a method which combine three ways to extract social network. It can realize extraction of social networks that are not biased and provide a simple means to register social networks for users. We develop a system using our method. This paper describes a method of extracting social networks for communities and analyzes the multiple extracted social networks on the same community; user-registered knows network, Web-mined network, and face-to-face meets network.

Other items being presented by these speakers

• POLYPHONET: An Advanced Social Network Extraction System from the Web (Semantic Web Track)