2014 | OriginalPaper | Buchkapitel
On the Use of Brokerage Approach to Discover Influencing Nodes in Terrorist Networks
verfasst von : Nisha Chaurasia, Akhilesh Tiwari
Erschienen in: Social Networking
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Social Network Analysis is a non-conventional Data Mining technique which analyzes social networks on web. The technique is used frequently for studying network behaviors using centrality measures viz. Degree, Betweenness, Closeness and Eigenvector. Hence has also led to the concept of Terrorist Network Mining which aims at detection of the terrorist group, studying the hierarchy they follow for the communication (using SNA) and then finally destabilizing of the network activities. The chapter focuses on an approach under SNA known as Brokerage which finds brokers who serve as the leading nodes in the network. Brokerage is expected to be beneficial in case of estimating the terrorist groups where different subgroups of terrorist organization coordinate to fulfill their awful deeds. The brokerage on whole estimates the influential roles as it would be done by individually calculating the centrality measures, with much more useful information aiding to amend terrorist network analysis.