Social Network Analysis of Terrorist Networks
Social Network Analysis is a mathematical methodology for connecting the dots -- using science to fight terrorism. Connecting multiple pairs of dots soon reveals an emergent network of organization. Once you have a network map, you can measure parts of the network, or the whole, using social network metrics.
I used open source data -- public information from major newspapers on the WWW -- to map the terrorist networks. In the network map above, the hijackers are color coded by the flight they were on. The dark grey nodes are others who were reported to have had direct, or indirect, interactions with the hijackers. The gray lines indicate the reported interactions -- a thicker line indicates a stronger tie between two nodes. Notice the clustering around the pilots. An detailed academic article on this process is available.
More about covert networks...
- Uncloaking Terrorist Networks by Valdis Krebs [Read...]
- War 2.0 Case Study: Connecting the 9/11 Hijackers [Read...]
- Global Guerrillas - The next generation of terrorism [Read...]
- Six Degrees of Mohammed Atta by Thomas A. Stewart [PDF]
- Modeling Terrorist Networks by P Vos Fellman, R Wright [PDF]
- Secrecy News: Social Network Analysis and Intelligence [Read...]
- The Man Who Knew: Connecting the Dots by PBS Frontline [Read...]
- Drawings of global conspiracy networks by artist Mark Lombardi [Read...]
- Can Network Theory Thwart Terrorists? By Patrick Radden Keefe [Read...]
- Book Overview: Understanding Terror Networks by Marc Sageman [Read...]
- Connecting the Dots - Tracking Two Identified Terrorists by Valdis Krebs [Read...]
- The Efficiency/Security Trade-off in Criminal Networks by C Morselli, K Petit, C Giguere [Read...]
- Search Google News for public articles about terrorist networks and their latest activities [Search...]
- Effective Counterterrorism and the Limited Role of Predictive Data Mining by Jeff Jonas and Jim Harper [PDF]
Home | Software | Training | Consulting | Case Studies | Blog | Contact
Copyright © 2008, Valdis Krebs