Practical Study Regarding Social Sensing Technologies for Extracting Unordinary Phenomena Considering User Attributes with Focus on Different Behavior from Normal Time
Author:
Affiliation:
1. Graduate School of Informatics, Kansai University
2. Faculty of Information Technology and Social Sciences,
3. Faculty of Information Science and Technology,
4. Faculty of Informatics, Kansai University
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/32/1/32_556/_pdf
Reference16 articles.
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2. [2] J. Ginsberg, M. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant.: “Detecting Influenza Epidemics Using Search Engine Query Data,” Nature, Vol.457, pp. 1012-1014, 2009.
3. [5] T. Sakaki, M. Okazaki, and Y. Matsuo: “Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors,” Proc. of the 19th Int. Conf. on World Wide Web, pp. 851-860, 2010.
4. [7] A. Dingli, L. Mercieca, R. Spina, and M. Galea: “Event Detection Using Social Sensors,” Proc. of the 2nd Int. Conf. on Information and Communication Technologies for Disaster Management, pp. 35-41, 2015.
5. [8] S. Zhao, L. Zhong, J. Wickramasuriya, and V. Vasudevan: “Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games,” Rice University Technical Report, No.TR0620, 2011.
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