Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment

Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Makoto Imase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we present our vision on large-scale and dynamic social network analysis in real environment, which is expected to be enabled by introduction of large-scale heterogeneous sensors in ambient environment. We address challenges toward realization of large-scale dynamic social network analysis in real environment, and discuss several promising applications. We finally present our preliminary experimental results of dynamic social network analysis for six-person social gatherings in real environment.

Original languageEnglish
Title of host publicationIEEE Virtual Reality Conference 2012, VR 2012 - Proceedings
DOIs
Publication statusPublished - 2012
Event19th IEEE Virtual Reality Conference, VR 2012 - Costa Mesa, CA, United States
Duration: 2012 Mar 42012 Mar 8

Publication series

NameProceedings - IEEE Virtual Reality

Other

Other19th IEEE Virtual Reality Conference, VR 2012
CountryUnited States
CityCosta Mesa, CA
Period12/3/412/3/8

Keywords

  • Social network
  • ambient environment

ASJC Scopus subject areas

  • Engineering(all)

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    Tsugawa, S., Ohsaki, H., Itoh, Y., Ono, N., Kagawa, K., Takashima, K., & Imase, M. (2012). Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. In IEEE Virtual Reality Conference 2012, VR 2012 - Proceedings [6180851] (Proceedings - IEEE Virtual Reality). https://doi.org/10.1109/VR.2012.6180851