Mathematical modeling and analysis of a dark money network

dc.contributor.authorCouch, Christopher
dc.contributor.authorFox, William P.
dc.contributor.authorEverton, Sean F.
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentDefense Analysis (DA)en_US
dc.date2016
dc.date.accessioned2016-10-13T18:08:22Z
dc.date.available2016-10-13T18:08:22Z
dc.date.issued2016
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.1177/1548512915625337en_US
dc.description.abstractIn this article, the authors present background and analysis on a dark money network. An AHP/TOPSIS (analytical hierarchy process/technique of order preference by similarity to ideal solution) hybrid model is used to find the key nodes of the network. The analysis of the key nodes leads to improved targeting strategies against the network. Game theory applications using kinetic versus non-kinetic strategies in dealing with the network are developed after using AHP to obtain cardinal utility from the ordinal ranking originally provided. These methods provide an additional metric that can be employed when dealing with and analyzing any dark network.en_US
dc.format.extent12 p.en_US
dc.identifier.citationJournal of Defense Modeling and Simulation: Applications, Methodology, Technology 1–12en_US
dc.identifier.urihttps://hdl.handle.net/10945/50281
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authornetworksen_US
dc.subject.authordark networken_US
dc.subject.authordark money networken_US
dc.subject.authoranalytical hierarchy process (AHP)en_US
dc.subject.authortechnique of order preference by similarity to ideal solution (TOPSIS)en_US
dc.subject.authorgame theoryen_US
dc.subject.authorcardinal utilityen_US
dc.subject.authorNash equilibriumen_US
dc.subject.authorNash arbitrationen_US
dc.subject.authorsecurity levelsen_US
dc.titleMathematical modeling and analysis of a dark money networken_US
dc.typeArticleen_US
dspace.entity.typePublication
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