Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On the Bursty Evolution of Blogspace
World Wide Web
Proceedings of the 15th international conference on World Wide Web
Introduction to Information Retrieval
Introduction to Information Retrieval
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
International Journal of Information Management: The Journal for Information Professionals
Damage tracker: a cloud and mobile system for collecting damage information after natural disasters
Proceedings of the 51st ACM Southeast Conference
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Collecting aftermath information after a wide-area disaster is a crucial task in the disaster response that requires important human resources. We propose to assist reconnaissance teams by extracting useful data sent by the users of social networks that experienced the disaster. In particular we consider the photo sharing website Flickr as a source of information that allows one to evaluate the disaster aftermath. We propose a methodology to detect major event occurrences from the behavior of Flickr users and describe the nature of these events from the tags they post on the Flickr website. Our experiments using two study cases, namely, the Tohoku earthquake and tsunami and the Tuscaloosa tornado, reveals the value of the data published by Flickr users and highlight the value of social networks in disaster response.