Visual analytics of terrorist activities related to epidemics

Enrico Bertini, Juri Buchmuller, Fabian Fischer, Stephan Huber, Thomas Lindemeier, Fabian Maass, Florian Mansmann, Thomas Ramm, Michael Regenscheit, Christian Rohrdantz, Christian Scheible, Tobias Schreck, Stephan Sellien, Florian Stoffel, Mark Tautzenberger, Matthias Zieker, Daniel A. Keim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
    Pages329-330
    Number of pages2
    DOIs
    StatePublished - 2011
    Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
    Duration: Oct 23 2011Oct 28 2011

    Publication series

    NameVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings

    Other

    Other2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
    CountryUnited States
    CityProvidence, RI
    Period10/23/1110/28/11

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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