Title :
Detecting Key Players in Terrorist Networks
Author :
Berzinji, Ala ; Kaati, Lisa ; Rezine, Ahmed
Author_Institution :
Univ. of Sulaimani, Sulaimani, Iraq
Abstract :
The interest in analyzing loosely connected and decentralized terrorist networks of global reach has grown during the past decade. Social Network Analysis (SNA) is one approach towards understanding terrorist networks since it can be used to analyze the structure of a network and to detect important persons and links. In this work we study decentralized terrorist networks with different types of nodes. The nodes can be either organizations, places or persons. We use a combination of different centrality measures to detect key players in such networks.
Keywords :
security of data; social networking (online); SNA; decentralized terrorist networks; key player detection; loosely connected terrorist networks; social network analysis; Algorithm design and analysis; Data models; Logic gates; Organizations; Social network services; Terrorism; Terrorist network; centrality; social network analysis;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2012 European
Conference_Location :
Odense
Print_ISBN :
978-1-4673-2358-1
DOI :
10.1109/EISIC.2012.13