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http://dx.doi.org/10.9728/dcs.2017.18.3.567

Leveraging Social Media for Enriching Disaster related Location Trustiness  

Nguyen, Van-Quyet (Department of Electronics and Computer Engineering, Chonnam National University)
Nguyen, Giang-Truong (Department of Electronics and Computer Engineering, Chonnam National University)
Nguyen, Sinh-Ngoc (Department of Electronics and Computer Engineering, Chonnam National University)
Kim, Kyungbaek (Department of Electronics and Computer Engineering, Chonnam National University)
Publication Information
Journal of Digital Contents Society / v.18, no.3, 2017 , pp. 567-575 More about this Journal
Abstract
Location-based services play an important role in many applications such as disaster warning systems and recommendation systems. These applications often require not only location information (e.g., name, latitude, longitude, etc.) but also the impact of events (e.g., earthquake, typhoon, etc.) on locations. Recently, to provide the impact of an event on a location, how to calculate location trustiness by using multimodal information such as earthquake information and disaster sensor data is researched. In the previous approach, the linear decrement of impact value of an event is applied to obtain the location trustiness of a specific location. In this paper, we propose a new approach to enrich location trustiness, that is, the impact of an event on a location, by using social media information additionally. Firstly, we design a collecting system for earthquake information and social media data. Secondly, we present an approach of location trustiness calculation based on earthquake information. Finally, we propose a new approach to enrich location trustiness by augmenting the trustiness in spatially distributed manner based on social media.
Keywords
Disaster Resilient Networks; Disaster Warning Systems; Location Trustiness; Social Media;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 K. M. Rahman, T. Alam, and M. Chowdhury, "Location based early disaster warning and evacuation system on mobile phones using OpenStreetMap," in Proceedings of 2012 IEEE Conference on Open Systems, pp.1-6, 2012
2 Tiep Vu Duc, Quyet Nguyen-Van, and Kyungbaek Kim, "Design and Implementation of Geo-Social information based Personalized Warning Notification System," KISM Smart Media Journal, Vol. 5, No. 2, pp. 42-50, June, 2016.
3 A. A. Pirzada, and C. McDonald, "Trusted greedy perimeter stateless routing," in Proccedings of 15th IEEE International Conference on Networks, pp.206-211, 2007
4 H.C. Leligou, et al, "Combining trust with location information for routing in wireless sensor networks," Wireless Communications and Mobile Computing, Vol. 12, Issue. 12, pp. 1091-1103, August 2012.   DOI
5 M. Jamali, and M. Ester, "A matrix factorization technique with trust propagation for recommendation in social networks," In Proceedings of the fourth ACM conference on Recommender systems, pp. 135-142, 2010.
6 S. Meyffret, L. Médini, and F. Laforest, "Trust-based local and social recommendation," In Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, pp. 53-60, 2012.
7 Quyet Nguyen-van and Kyungbaek Kim, "Study on Location Trustiness based on Multimodal Information," In Proceedings of the 4th International Conference on Smart Media and Applications, pp.187-190, 2016.
8 B. Mukherjee, M. Habib, and F. Dikbiyik, "Network adaptability from disaster disruptions and cascading failures," IEEE Communications Magazine, Vol. 52, Issue. 5, pp.230-238, 2014.   DOI
9 X. Wang, X. Jiang, and A. Pattavina, "Assessing network vulnerability under probabilistic region failure model," In Proceedings of IEEE 12th International Conference on High Performance Switching and Routing, pp.164-170, 2011.
10 S. Neumayer, et al, "Assessing the vulnerability of the fiber infrastructure to disasters," IEEE/ACM Transactions on Networking, Vol. 19, Issue. 6, pp.1610-1623, 2011.   DOI
11 T. Sakaki, M. Okazaki, and Y. Matsuo, "Tweet analysis for real-time event detection and earthquake reporting system development," IEEE Transactions on Knowledge and Data Engineering, Vol. 25, Issue. 4, pp.919-931, 2013   DOI
12 Z. Cheng, J. Caverlee, and K. Lee, "You are where you tweet: a content-based approach to geo-locating twitter users," In Proceedings of the 19th ACM international conference on Information and knowledge management, pp. 759-768, 2010.
13 S. Chandra, L. Khan, F. B. Muhaya, "Estimating twitter user location using social interactions--A content based approach," In Proceedings of 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, pp. 838-843, 2011.
14 A. Salfinger, W. Schwinger, W. Retschitzegger, and B. Proll, "Mining the disaster hotspots-situation-adaptive crowd knowledge extraction for crisis management," In Proceedings of 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, pp. 212-218, 2016
15 Heau-jo Kang, "Smart Disaster Safety Management System for Social Security", Journal of Digital Contents Society, Vol. 18, No. 1, pp. 225-229, Feburary 2017   DOI
16 United States Geological Survey, Earthquake Facts and Statistics [Internet]. Available : http://info.geonet.org.nz/display/quake/Earthquake+Facts+and+Statistics
17 Integrated Mass Notification Systems and Emergency Communications Systems [Internet]. Available : http://www.cooperindustries.com/content/public/en/safety/notifica tion/products/mass_notificationsystems.html