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Emergency-Affected Population Identification and Notification by Using Online Social Networks
conference contribution
posted on 2023-05-23, 05:48 authored by Pho, H, Han, SC, Byeong KangByeong KangNatural disasters have been a major cause of huge losses for both people’s life and property. There is no doubt that the importance of Emergency Warning System (EWS) has been considered more seriously than ever. Unfortunately, most EWSs do not provide acceptable service to identify people who might be affected by a certain disasters. In this project, we propose an approach to identify possibly affected users of a target disaster by using online social networks. The proposed method consists of three phases. First of all, we collect location information from social network websites, such as Twitter. Then, we propose a social network analysis algorithm to identify potential victims and communities. Finally, we conduct an experiment to test the accuracy and efficiency of the approach. Based on the result, we claim that the approach can facilitate identifying potential victims effectively based on data from social networking systems.
History
Publication title
Software Engineering, Business Continuity, and Education - Proceedings of the 2011 International Conference on Advanced Software Engineering and Its Applications (ASEA 2011)Volume
257Editors
TH Kim, H Adeli, HK Kim, HJ Kang, KJ Kim, A Kiumi, BH KangPagination
541-550ISBN
978-3-642-27207-3Department/School
School of Information and Communication TechnologyPublisher
Springer- VerlagPlace of publication
Berlin HeidelbergEvent title
2011 International Conference on Advanced Software Engineering and Its Applications (ASEA 2011)Event Venue
Jeju Island, KoreaDate of Event (Start Date)
2011-12-08Date of Event (End Date)
2011-12-10Rights statement
Copyright 2011 Springer-VerlagRepository Status
- Restricted