Detecting Key Players in Terrorist Networks
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
The interest in analyzing loosely connected and decentralized terrorist networks of global reach has grown during the past decade. Social Network Analysis (SNA) is a mature approach towards understanding terrorist networks since it can be used to analyze a networks structure and properties 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.
Place, publisher, year, edition, pages
IT, 11 060
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-159130OAI: oai:DiVA.org:uu-159130DiVA: diva2:442516
Master Programme in Computer Science
Kaati, LisaRezine, Ahmed
Abdulla, ParoshJansson, Anders