Abstract
In recent years, social media has become ubiquitous and important for social networking and content sharing. Especially, in the disaster area, social media supports backchannel communications, allowing for wide-scale interaction that can be collectively resourceful, self-policing, and generative of information that is otherwise hard to obtain. At the time of great Japan and Haiti earthquake, social media channels actively were utilizing to grasp the damage, to warn, and to exchange information. In this paper, we introduce the real-time monitoring system of social big data, named Social Big Board, for disaster management. This system crawls social big data, especially Twitter, analyses the disaster-related tweets in real time, and displays disaster issues and trends in a map. We substantiated that there is the potential for utilization on our system to monitor disasters situations and trends in real time and grasp the point from big tweet data.
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© 2015 Springer-Verlag Berlin Heidelberg
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Choi, S., Bae, B. (2015). The Real-Time Monitoring System of Social Big Data for Disaster Management. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_115
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DOI: https://doi.org/10.1007/978-3-662-45402-2_115
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45401-5
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