Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks
von Nasrullah Memon
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| [1.] Nm/Fragment 034 01 - Diskussion Zuletzt bearbeitet: 2012-04-21 21:45:23 Hindemith | Fragment, Gesichtet, Nm, Ressler 2006, SMWFragment, Schutzlevel sysop, Verschleierung |
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| Untersuchte Arbeit: Seite: 34, Zeilen: 1-9 |
Quelle: Ressler 2006 Seite(n): 4, Zeilen: 21-25, 32-35 |
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| Understanding Terror Networks by Marc Sageman was another brilliant attempt in this regard. He using public sources, collected biographies of 172 Islamic terrorist operatives affiliated with the global Salafi jihad (the violent revivalist Islamic movement led by al Qaeda). He also used social network analysis specifically on Al Qaeda operatives since 1998.
However collecting terrorists’ information from open sources has a few key drawbacks. With open sources, if the author does not have information on terrorists, he or she assumes they do not exist. |
Another bright spot is the 2004 publication of Understanding Terror Networks by Marc Sageman. Using public sources, Sageman collects biographies of 172 Islamic terrorist operatives affiliated with the global Salafi jihad (the violent revivalist Islamic movement led by al Qaeda). He uses social network analysis specifically on Al Qaeda operatives since 1998. [...]
Despite their many strengths, Krebs’ and Sageman’s works have a few key drawbacks. By dealing with open sources, these authors are limited in acquiring data. With open sources, if the author does not have information on terrorists, he or she assumes they do not exist. |
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Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120421214614
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120421214614