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Integrated Visual Analysis of Global Terrorism

Integrated Visual Analysis of Global Terrorism. Remco Chang Charlotte Visualization Center UNC Charlotte. GTD Data. It’s a large dataset. GTD has 59,603 incidents, with 119 attributes (dimensions) for each incident.

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Integrated Visual Analysis of Global Terrorism

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  1. Integrated Visual Analysis of Global Terrorism Remco Chang Charlotte Visualization Center UNC Charlotte

  2. GTD Data • It’s a large dataset. GTD has 59,603 incidents, with 119 attributes (dimensions) for each incident. • It covers almost all incidents happened from 1970 to 1997, across the whole world. • It contains mixed types of attribute --- Categorical and Numerical. • It also includes uncertain/unknown incidents.

  3. Visual GTD Flow Chart Entity Relationships (Geo-temporal Vis) Dimensional Relationships (ParallelSets) Entity Analysis (Search By Example)

  4. WHO – Terrorist Groups Five Flexible Entry Components What WHERE~ WHEN

  5. Enter System by single or multiple Selections System will supply Specific Information Drilldown to Original Info

  6. Parallel Sets View • Parallel Sets • Displays relationships among categorical dimensions • Shows intersections and distributions of categories

  7. Parallel Sets View • Dynamic filtering on continuous dimensions can show more information • Here we see the large proportion of facility attacks and bombings in Latin America during the early 1980s

  8. Analysis using Longest Common Sequence (LCS) • Two strings of data (each representing a series of events) • GATCCAGT • GTACACTGAG • Basic algorithm returns length of longest common subsequence: 6 • Can return trace of subsequence if desired: • GTCCAG • GATCCAGT • GTACACTGAG • Additional variations can take into account event gap penalties, time gap penalties, and exploration of shorter, or alternate, common subsequences

  9. Grouping using MDS in 2D • Each o represents a terrorist group • Groups form cluster according to naturally occurring trend sizes • Sharp divide between large clusters in right hemisphere • Left hemisphere contains many smaller clusters MDS Analysis by TargetType

  10. Integrated Terrorism Analysis Multimedia Real Time Known Events Visual GTD

  11. Video Analysis Goals • to describetrends in news content over time • to discoverbreaking news and hot topics over time • to trace conceptual development of news • to retrievenews of interests effectively • to collect evidences and test hypotheses for intelligent analysis • to comparegroup (such as different channels) differences in content • to associatenews content with social events

  12. Multimedia Analysis

  13. Video Analysis Example CNN Fox News MSNBC • News contains view points and opinions • Find local, regional, national, and international reports of the same event to get a complete picture

  14. NVAC Collaborations • PNNL – A. Sanfilippo (Content Analysis and Information Extraction of closed caption) • PNNL – W. Pike (Emotional state extraction from closed caption) • Penn State – A. MacEachren (Geographical analysis) • Georgia Tech – J. Stasko (Jigsaw, entity relationships) • Visual Analytics is the point of integration!!

  15. Integrating Terrorism Data Analysisand News Analysis Terrorism Visual Analysis Terrorism Databases Terrorism VA Jigsaw NVAC Stab/ TIBOR Reasoning Environment Framing, Affective Analysis Broadcast VA News Visual Analysis News Story Databases Next: full, Web-based multimedia content

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