An Overlapping Networks Approach to Resource Allocation for Domestic Counterterrorism |
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Authors: | Michael P. Atkinson Lawrence M. Wein |
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Affiliation: | 1. Operations Research Department , Naval Postgraduate School , Monterey, CA, USA;2. Graduate School of Business , Stanford University , Stanford, CA, USA |
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Abstract: | Motivated by the links between terror and crime and the difficulty in directly detecting terror activity, this article formulates and solves a resource allocation problem on overlapping networks to determine if interdiction efforts may be able to take advantage of these connections. The government, knowing only the general structure and overlap of the networks, allocates its scarce resources to investigate each terror and criminal network. There are two stages to the investigation: an initial investigation of all nodes (i.e., terrorists or criminals) and a secondary investigation of criminals identified during the initial investigation to determine if they are terrorists. Applying the model to data derived from a population of terrorists in the United States between 1971–2003 suggests that the government may be able to exploit the terror connections of crimes that are relatively uncommon, somewhat easy to detect, and are attractive to terrorists. |
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