Fandom

VroniPlag Wiki

Nm4/342

< Nm4

31.380Seiten in
diesem Wiki
Seite hinzufügen
Diskussion0 Teilen

Störung durch Adblocker erkannt!


Wikia ist eine gebührenfreie Seite, die sich durch Werbung finanziert. Benutzer, die Adblocker einsetzen, haben eine modifizierte Ansicht der Seite.

Wikia ist nicht verfügbar, wenn du weitere Modifikationen in dem Adblocker-Programm gemacht hast. Wenn du sie entfernst, dann wird die Seite ohne Probleme geladen.

Small World Terrorist Networks: A Preliminary Investigation

von Nasrullah Memon, David L. Hicks, Nicholas Harkiolakis, Abdul Qadeer Khan Rajput

vorherige Seite | zur Übersichtsseite | folgende Seite
Statistik und Sichtungsnachweis dieser Seite findet sich am Artikelende
[1.] Nm4/Fragment 342 01 - Diskussion
Zuletzt bearbeitet: 2014-02-02 15:38:09 Graf Isolan
BauernOpfer, Fragment, Gesichtet, Nm4, Ressler 2006, SMWFragment, Schutzlevel sysop

Typus
BauernOpfer
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 342, Zeilen: 1-22
Quelle: Ressler_2006
Seite(n): 4, 5, 6, Zeilen: 4: 11ff; 5: 9ff; 6: 1ff
[A number of academic researchers [12, 13 & 14] focus primarily on data collection] on terrorist organizations, analyzing the information through description and straightforward modeling.

Despite their strength, their work has 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. This can be quite problematic as the data analysis may be misleading.

3.2 Data Modelers

Complex models that have been created that offer insights into theoretical terrorist networks [15] and looked at how to model the shape of a terrorist network when little information is known through predictive modeling techniques based on inherent network structures. Using a software tool known as DyNet, they looked at ways to estimate vulnerabilities and destabilize terrorist network. Carpenter, T. et al., [16] looked at some of the practical issues and algorithms for analyzing terrorist networks by discussing a number of ways to construct various social network measures when dealing with terrorist networks. Farley Jonathan David [17] also proposed a model for breaking Al Qaeda cells.

A common problem for the modelers is the issue of data. Any academic work is only as good as the data, no matter the type of advanced methods used. Modelers often do not have the best data, as they have not collected individual biographies (like Sageman) and do not have access to classified data. Many of the models were created data-free or without complete data, yet do not fully consider human and data limitations [11].


11. Ressler S., (2006). Social network analysis as an approach to combat terrorism: past, present, and future research. http://www.hsaj.org/pages/ volume2/issue2/pdfs/2.2.8.pdf

12. Krebs, Valdis E. Mapping networks of terrorist cells. Connections 24 (3) 43-52, 2002

13. Sageman, M. Understanding terrorist networks, Philadelphia: University of Pennsylvania Press, 2004

14. Rodriquez [sic], JA. The March 11th terrorist network: in its weakness lies its strength, XXV International Sunbelt Conference, Los Angeles, 2005

15. Carley, KM. Estimating vulnerabilities in large covert networks,” [sic] in proc. International Symposium on Command and Control Research and Technology San Diego, CA., 2004

16. Carpenter, T., George Karakostas, and David Shallcross. Practical issues and algorithms for analyzing terrorist networks. In proc. WMC, 2002

17. Farley D. J. Breaking Al Qaeda Cells. A mathematical analysis of counterterrorism operations (A guide for risk assessment and decision making) Studies in Conflict & Terrorism, 26:399–411, 2003

A number of academic researchers focus primarily on data collection on terrorist organizations, analyzing the information through description and straightforward modeling. [...]

[...]

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. This can be quite problematic as the data analysis may be misleading.

[page 5]

Modelers

Complex models have been created that offer insight on theoretical terrorist networks. [...] In a series of projects, Carley and her collaborators deal with a variety of terrorism-related issues. They looked at how to model the shape of a covert network when little information is known, through predictive modeling techniques based on inherent network structures.19 Using a computational tool created at CASOS known as DyNet, they looked at ways to estimate vulnerabilities and destabilize terrorist networks.20 [...]

[...] In addition, in 2002, Tami Carpenter and others began to look at some of the practical issues and algorithms for analyzing terrorist networks by discussing a number of ways to construct various social network measures when dealing with covert networks.25

[page 6]

A common problem for the modelers is the issue of data. Any academic work is only as good as the data, no matter the type of advanced methods used. Modelers often do not have the best data, as they have not collected individual biographies (like Sageman) and do not have access to classified data. Many of the models are created data-free or without complete data, yet do not fully consider human and data limitations.


19 Matthew Dombroski, Paul Fischbeck, and Kathleen M. Carley, “Estimating the Shape of Covert Networks,” in Proceedings of the 8th International Command and Control Research and Technology Symposium (Conference held at the National Defense War College, Washington D.C., 2003).

20 Kathleen Carley, “Estimating Vulnerabilities in Large Covert Networks,” in Proceedings of the 2004 International Symposium on Command and Control Research and Technology (San Diego, CA, 2004).

25 Tami Carpenter, George Karakostas, and David Shallcross, “Practical Issues and Algorithms for Analyzing Terrorist Networks” (Telcordia Technologies, 2002).

Anmerkungen

The source is given at the end of the passage. It is only one of several sources given and the reader does not assume that it is the source of large verbatim text borrowings.

Note that also the publications by Krebs, Sageman and Rodriguez are discussed in the source, however in greater detail.

Sichter
(Hindemith) Singulus


vorherige Seite | zur Übersichtsseite | folgende Seite
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20140201214115

Auch bei Fandom

Zufälliges Wiki