2009 | OriginalPaper | Buchkapitel
Extracting Knowledge from Graph Data in Adversarial Settings
verfasst von : David Skillicorn
Erschienen in: Mathematical Methods in Counterterrorism
Verlag: Springer Vienna
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Graph data captures connections and relationships among individuals, and between individuals and objects, places, and times. Because many of the properties f graphs are emergent, they are resistant to manipulation by adversaries. This robustness comes at the expense of more-complex analysis algorithms. We describe several approaches to analysing graph data, illustrating with examples from the relationships within al Qaeda.