Abstract
Recently, the web is becoming an important event information provider and poster due to its real-time, open, and dynamic features. In this paper, social sensors based outbreak power computation algorithm of a web event is developed in order to let the people know a web event clearly and help the social group or government process the events effectively. The “social sensors” are firstly introduced, which is the foundation of using web resources to compute the outbreak power of events on the web. Secondly, five temporal features of web events are developed to provide the basic for computation algorithm. Moreover, the outbreak power presented to integrate the above temporal features of an event. Experiments on real data sets show the proposed algorithm has good performance and high effectiveness in the analysis of web events.
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© 2014 Springer-Verlag Berlin Heidelberg
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Xu, Z., Luo, X., Mei, L. (2014). Computing the Outbreak Power of Emergency Events Using Social Sensors. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_65
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DOI: https://doi.org/10.1007/978-3-642-55038-6_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55037-9
Online ISBN: 978-3-642-55038-6
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