Social network data analysis for event detection
Document typeConference lecture
Rights accessOpen Access
Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the total amount of usable data. We build a model of the normal city behavior which we use to detect abnormal situations (events). After collecting half a year of data we show examples of the events detected and introduce some applications.
CitationGarcía-Gasulla, D. [et al.]. Social network data analysis for event detection. A: European Conference on Artificial Intelligence. "ECAI 2014: 21st European Conference on Artificial Intelligence: 18-22 august 2014, Prague, Czech Republic: proceedings". Prague: IOS Press, 2014, p. 1009-1010.