DocumentCode :
2636710
Title :
Visual analytics of terrorist activities related to epidemics
Author :
Bertini, Enrico ; Buchmüller, Juri ; Fischer, Fabian ; Huber, Stephan ; Lindemeier, Thomas ; Maass, Fabian ; Mansmann, Florian ; Ramm, Thomas ; Regenscheit, Michael ; Rohrdantz, Christian ; Scheible, Christian ; Schreck, Tobias ; Sellien, Stephan ; Stoffe
Author_Institution :
Data Anal. & Visualization Group, Univ. of Konstanz, Konstanz, Germany
fYear :
2011
fDate :
23-28 Oct. 2011
Firstpage :
329
Lastpage :
330
Abstract :
The task of the VAST 2011 Grand Challenge was to investigate potential terrorist activities and their relation to the spread of an epidemic. Three different data sets were provided as part of three Mini Challenges (MCs). MC 1 was about analyzing geo-tagged microblogging (Twitter) messages to characterize the spread of an epidemic. MC 2 required analyzing threats to a computer network using a situational awareness approach. In MC 3 possible criminal and terrorist activities were to be analyzed based on a collection of news articles. To solve the Grand Challenge, insight from each of the individual MCs had to be integrated appropriately.
Keywords :
computer network security; data analysis; data visualisation; epidemics; medical computing; social networking (online); terrorism; MC 1; MC 2; MC 3; Twitter; VAST 2011 Grand Challenge; computer network threat analysis; criminal activities; epidemic spread; geo-tagged microblogging message analysis; news articles collection; situational awareness approach; terrorist activities; visual analytics; Data analysis; Imaging; Rivers; Software; Tag clouds; Terrorism; Visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-0015-5
Type :
conf
DOI :
10.1109/VAST.2011.6102498
Filename :
6102498
Link To Document :
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