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

von Nasrullah Memon

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[1.] Nm/Fragment 045 01 - Diskussion
Zuletzt bearbeitet: 2012-05-22 19:44:41 Hindemith
Carley 2006, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

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Untersuchte Arbeit:
Seite: 45, Zeilen: 1-16
Quelle: Carley 2006
Seite(n): 51-52, Zeilen: p.51,14.15-20 - p.52,1-5
Terrorist networks are so often challenging to reason about and manage. These networks differ on many dimensions. For examples, terrorist networks range in complexity and lethalness of the weaponries they use, the level and source of their fiscal support, their core organizational structure, and their linking to organized crime, the local police and other terrorist or rebellious groups. Despite these differences, in general, these groups rely on communication groups, with and without advanced information technology, to employ, organize, design, direct, and perform terrorist attacks. As such targeting mechanisms aimed at information, channels, and actors can be used to classify those relations and nodes that are actual targets for disrupting the organizational movement or interrelation of these terrorist networks. Investigative data mining provides a means for detecting such targets and assessing the impact of different courses of action on the terrorist networks. [page 51]

Covert networks are often difficult to reason about and manage. [...] These groups[FN 1] vary on many dimensions. For example, terrorist groups range in the sophistication and deadliness of the weapons they use, the level and source of their financial support, their internal organizational structure, and their connection to organized crime, the local police and other terrorist or insurgent groups. Despite these differences, in general, these groups rely on communication networks, with and without advanced information technology, to recruit, organize, plan, direct, and

[page 52]

execute terrorist acts. As such, targeting mechanisms aimed at information, channels, and actors can be used to identify those links and nodes that are effective targets for destabilizing the organizational activity or cohesion of these covert networks. Dynamic network analysis provides a means for identifying such targets and assessing the impact of alternate courses of action on these covert networks.

Anmerkungen

Only small bits and pieces have been exchanged; otherwise the text has been left more or less intact. No reference to the source is given.

Sichter
(Graf Isolan), Hindemith

[2.] Nm/Fragment 045 18 - Diskussion
Zuletzt bearbeitet: 2012-05-01 08:30:28 Hindemith
Fragment, Gesichtet, Koschade 2005, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

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Untersuchte Arbeit:
Seite: 45, Zeilen: 18-23
Quelle: Koschade 2005
Seite(n): 2 and 3, Zeilen: p. 2,6-8 and p. 3,31-35
IDM offers the ability to map a covert cell, and to measure the specific structural criteria of such a cell. This framework aims to connect the dots between individuals and “map and measure complex, covert, human groups and organisations”. The method focuses on uncovering the patterning of people’s interaction, and correctly interpreting these networks assists “in predicting behaviour and decision-making within the network”. [p. 2]

Social network analysis offers the ability to firstly map a covert cell, and to secondly measure the specific structural and interactional criteria of such a cell.

[p. 3]

This framework aims to connect the dots between individuals and “map and measure complex, sometimes covert, human groups and organisations”. [EN 8] The method focuses on uncovering the patterning of people’s interaction, [EN 9] and correctly interpreting these networks assists “in predicting behaviour and decision-making within the network”. [EN 10]

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[EN 8] Krebs, V. (2002) “Mapping Networks of Terrorist Cells”, Connections, Vol. 24, 3, pp. 43-52.

[EN 9] Freeman, L. (nd) ‘The Study of Social Networks’, The International Network for Social Network Analysis, Retrieved May 17, 2004, from http://www.sfu.ca/~insna/INSNA/na_inf.html.

[EN 10] Renfro, R. & Deckro, R. (2001). “A Social Network Analysis of the Iranian Government”, paper presented at 69th MORS Symposium, 12-14 June, 2001, p. 4.

Anmerkungen

While the original text gives references for each sentence, Nm has only left the quotation marks and gives neither the original sources nor the source of this section.

Furthermore Nm uses this text in his thesis for the second time, the other is Nm/Fragment_025_22

Sichter
(Graf Isolan), Bummelchen


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