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A Social Media Content Based Location and Situation Analysis Model for Disaster Management

A Social Media Content Based Location and Situation Analysis Model for Disaster Management

Renya N. Nath, N. Priya, C.R. Rene Robin
Copyright: © 2017 |Volume: 4 |Issue: 3 |Pages: 11
ISSN: 2334-4520|EISSN: 2334-4539|EISBN13: 9781522515692|DOI: 10.4018/IJPADA.2017070104
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MLA

Nath, Renya N., et al. "A Social Media Content Based Location and Situation Analysis Model for Disaster Management." IJPADA vol.4, no.3 2017: pp.42-52. http://doi.org/10.4018/IJPADA.2017070104

APA

Nath, R. N., Priya, N., & Robin, C. R. (2017). A Social Media Content Based Location and Situation Analysis Model for Disaster Management. International Journal of Public Administration in the Digital Age (IJPADA), 4(3), 42-52. http://doi.org/10.4018/IJPADA.2017070104

Chicago

Nath, Renya N., N. Priya, and C.R. Rene Robin. "A Social Media Content Based Location and Situation Analysis Model for Disaster Management," International Journal of Public Administration in the Digital Age (IJPADA) 4, no.3: 42-52. http://doi.org/10.4018/IJPADA.2017070104

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Abstract

Social media has evolved as an inseparable entity in everybody's life. People make use of social media like Face book, twitter, etc. to express their feelings. That's the reason organizations make use of social media information to infer the behavior of its users. The recent ChennaiRains2015 followed by Chennai flood show the reachability of social media as most of the people have utilized it to convey their status and requirements. Many people have utilized the same social media to express their willingness for providing help (food, shelter, evacuation and medical) to the flood victims. Connecting such people to the needy in a timely manner can make the disaster management process more efficient. In this paper, the authors highlight, (1) the design of Apache Storm based real time analytics of twitter data for extracting location and status of flood affected areas and (2) the development of an optimized map connecting the volunteers (people ready to help flood victims) and the flood victims who have raised their requests via social media.

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