Networks and Netwars: The Future of Terror, Crime and Militancy
Networks and Netwars: The Future of Terror, Crime and Militancy
CrimeNet explorer: a framework for criminal network knowledge discovery
ACM Transactions on Information Systems (TOIS)
Criminal network analysis and visualization
Communications of the ACM - 3d hard copy
Toward an interoperable dynamic network analysis toolkit
Decision Support Systems
Mining for offender group detection and story of a police operation
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Conditional random fields for entity extraction and ontological text coding
Computational & Mathematical Organization Theory
Cliques with maximum/minimum edge neighborhood and neighborhood density
Computers and Operations Research
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The United States is faced with an increasingly complex criminal enterprise. Advances in technology, communications, transport, and economies enable a highly adaptive criminal element to hide in plain site. These advances provide criminal organizations with the same global boundaries and opportunities as legitimate organizations.As boundaries expand the data to be analyzed by law enforcement mounts at a geometrically astounding rate. In response, the nature of law enforcement intelligence analysis must evolve to cope with both the amount and complexity of the data. This requires new and adaptive methods of analysis.Researchers have found that the principles of network analysis can be applied to the analysis of terrorist and criminal organizations. This paper examines the combination of measures historically employed by intelligence analysts and network analysis software and methodologies to quantitatively and qualitatively examine criminal organizations.