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Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks

von Nasrullah Memon

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Fragment, Gesichtet, Nm, Perer Shneiderman 2006, SMWFragment, Schutzlevel sysop, Verschleierung

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This chapter presents Investigative Data Mining Toolkit: iMiner, which is believed more than just another terrorist social network analysis tool because it balances systematic and flexible exploration. To help users systematically examine measures, iMiner applies new mathematical models and practical algorithms for analysis and destabilizing terrorist networks.	We present SocialAction, which we believe is more than just a YASNAT (“yet another social network analysis tool”) because it balances systematic and flexible exploration. To help users systematically examine measures, SocialAction applies attribute ranking and coordinated views to identify extreme-valued nodes (Section 3).

No source given. One gets the impression that iMiner possibly is a YASNAT.

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Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung, Xu and Chen 2005a

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The first stage of network analysis development is to automatically identify the [strongest association paths, or geodesics, between two or more network members.]	The first stage of our network analysis development was intended to automatically identify the strongest association paths, or geodesics, between two or more network members using shortest-path algorithms.

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