Paper Info
Title
Dynamical Adaptation in Terrorist Cells/Networks
Abstract
Typical terrorist cells/networks have dynamical structure as they evolve or adapt to changes which may occur due to capturing or killing of a member of the cell/network. Analytical measures in graph theory like degree centrality, betweenness and closeness centralities are very common and have long history of their successful use in revealing the importance of various members of the network. However, modeling of covert, terrorist or criminal networks through social graph dose not really provide the hierarchical structure which exist in these networks as these networks are composed of leaders and followers etc. In this research we analyze and predict the most likely role a particular node can adapt once a member of the network is either killed or caught. The adaptation is based on computing Bayes posteriori probability of each node and the level of the said node in the network structure.
Year
DOI
Venue
2008
10.1007/978-90-481-3660-5_95
ADVANCES TECHNIQUES IN COMPUTING SCIENCES AND SOFTWARE ENGINEERING
Keywords
Field
DocType
Social Networks Analysis,Bayes Theorem,Hierarchical Structure,Dynamical
Dynamic network analysis,Graph theory,Network science,Social graph,Computer security,Computer science,Evolving networks,Centrality,Betweenness centrality,Complex network
Conference
Citations 
PageRank 
References 
3
0.44
3
Authors
2
Name
Order
Citations
PageRank
Dil Muhammad Akbar Hussain1489.16
Zaki Ahmed231.11