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.
CITATION STYLE
Tsugawa, S., Ohsaki, H., Itoh, Y., Ono, N., Kagawa, K., & Takashima, K. (2014). Dynamic Social Network Analysis with Heterogeneous Sensors in Ambient Environment. Social Networking, 03(01), 9–18. https://doi.org/10.4236/sn.2014.31002
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