Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks
von Nasrullah Memon
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| [1.] Nm/Fragment 178 05 - Diskussion Zuletzt bearbeitet: 2012-04-17 21:40:11 Hindemith | Fragment, Gesichtet, Nm, Perer Shneiderman 2006, SMWFragment, Schutzlevel sysop, Verschleierung |
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| Untersuchte Arbeit: Seite: 178, Zeilen: 5-15 |
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| Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a combination of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. Our contributions are techniques to help intelligence analysts understand social terrorist networks more effectively. | Abstract— Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a medley of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. Our contributions are techniques to help structural analysts understand social networks more effectively |
Almost 1-to-1 copy of the first part of the abstract of Perer & Shneiderman (2006). One of the few changes has been to introduce the word "terrorist". The source is not given. |
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Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120417214117