A survey on analysis terrorist networks with complex networks

Author

al-Shahri, Hayfa Abd al-Rahman

Source

The Arab Journal of Arts and Humanities

Issue

Vol. 4, Issue 12 (30 Apr. 2020), pp.395-401, 7 p.

Publisher

The Arab Institution for Education Science and Art

Publication Date

2020-04-30

Country of Publication

Egypt

No. of Pages

7

Main Topic

Political Sciences

Topics

Abstract EN

Many researchers, after the terrorist attacks in 2001, have been looked for understand the functions and structures of terrorist networks.

This paper analyzes various techniques and methods proposed in this area and discuss how the complex network helps us to identify the important nodes in the terrorism network.

By use the standard social network analysis (SNA) measures such as (degree, betweenness, closeness) centrality, and apply techniques from different field such as game theory, Fuzzy Analytic Network method.

Furthermore, a little of research are focus on the how we can predict the terrorist threat, which is hard for uncertain or hidden information.

After analyzing the techniques and show the challenges in the terrorist network a proposal solution is made in conclusion Index Terms— Terrorist Network, Centrality measures, covered group, Social network analysis (SNA)

American Psychological Association (APA)

al-Shahri, Hayfa Abd al-Rahman. 2020. A survey on analysis terrorist networks with complex networks. The Arab Journal of Arts and Humanities،Vol. 4, no. 12, pp.395-401.
https://search.emarefa.net/detail/BIM-984387

Modern Language Association (MLA)

al-Shahri, Hayfa Abd al-Rahman. A survey on analysis terrorist networks with complex networks. The Arab Journal of Arts and Humanities Vol. 4, no. 12 (Apr. 2020), pp.395-401.
https://search.emarefa.net/detail/BIM-984387

American Medical Association (AMA)

al-Shahri, Hayfa Abd al-Rahman. A survey on analysis terrorist networks with complex networks. The Arab Journal of Arts and Humanities. 2020. Vol. 4, no. 12, pp.395-401.
https://search.emarefa.net/detail/BIM-984387

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 400-401

Record ID

BIM-984387