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S. Tsugawa, H. Ohsaki and M. Imase, “Inferring Leadership of Online Development Community Using Topological Structure of Its Social Network,” Journal of the Infosocionomics Society, Vol. 7, No. 1, 2012, pp. 17-27.

has been cited by the following article:

• TITLE: Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment

  AUTHORS: Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima

  KEYWORDS: Social Network; Ambient Environment; Dynamic Social Network Analysis; Centrality

  JOURNAL NAME: Social Networking, Vol.3 No.1, January 23, 2014

  ABSTRACT: This paper presents our vision of large-scale, dynamic social network analysis in real environments, which we expect to be enabled by the introduction of large-scale heterogeneous sensors in the ambient environment. We address challenges in realizing large-scale dynamic social network analysis in real environments, and discuss several promising applications. Moreover, we present our design and implementation of a prototype system for quasi-realtime social network construction. We finally present preliminary experimental results of dynamic social network analysis for six-person social gatherings in a real environment, and discuss the feasibility of dynamic social network analysis and its effectiveness.