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

doi:10.1109/VR.2012.6180851

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

RIEC - Human and Bio Information Systems Division

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	IEEE Virtual Reality Conference 2012, VR 2012 - Proceedings
DOIs	https://doi.org/10.1109/VR.2012.6180851
Publication status	Published - 2012
Event	19th IEEE Virtual Reality Conference, VR 2012 - Costa Mesa, CA, United States Duration: 2012 Mar 4 → 2012 Mar 8

Publication series

Name	Proceedings - IEEE Virtual Reality

Conference

Conference	19th IEEE Virtual Reality Conference, VR 2012
Country/Territory	United States
City	Costa Mesa, CA
Period	12/3/4 → 12/3/8

Keywords

ambient environment
Social network

Access to Document

10.1109/VR.2012.6180851

Cite this

@inproceedings{d9f49f260658425eae287cf9095416e3,

title = "Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment",

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.",

keywords = "ambient environment, Social network",

author = "Sho Tsugawa and Hiroyuki Ohsaki and Yuichi Itoh and Naoaki Ono and Keiichiro Kagawa and Kazuki Takashima and Makoto Imase",

year = "2012",

doi = "10.1109/VR.2012.6180851",

language = "English",

isbn = "9781467312462",

series = "Proceedings - IEEE Virtual Reality",

booktitle = "IEEE Virtual Reality Conference 2012, VR 2012 - Proceedings",

note = "19th IEEE Virtual Reality Conference, VR 2012 ; Conference date: 04-03-2012 Through 08-03-2012",

}

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, 19th IEEE Virtual Reality Conference, VR 2012, Costa Mesa, CA, United States, 12/3/4. https://doi.org/10.1109/VR.2012.6180851

Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. / Tsugawa, Sho; Ohsaki, Hiroyuki; Itoh, Yuichi et al.
IEEE Virtual Reality Conference 2012, VR 2012 - Proceedings. 2012. 6180851 (Proceedings - IEEE Virtual Reality).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment

AU - Tsugawa, Sho

AU - Ohsaki, Hiroyuki

AU - Itoh, Yuichi

AU - Ono, Naoaki

AU - Kagawa, Keiichiro

AU - Takashima, Kazuki

AU - Imase, Makoto

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - ambient environment

KW - Social network

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U2 - 10.1109/VR.2012.6180851

DO - 10.1109/VR.2012.6180851

M3 - Conference contribution

AN - SCOPUS:84860782786

SN - 9781467312462

T3 - Proceedings - IEEE Virtual Reality

BT - IEEE Virtual Reality Conference 2012, VR 2012 - Proceedings

T2 - 19th IEEE Virtual Reality Conference, VR 2012

Y2 - 4 March 2012 through 8 March 2012

ER -

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

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Keywords

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