Mathematical modeling and analysis of a dark money network
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Authors
Couch, Christopher
Fox, William P.
Everton, Sean F.
Subjects
networks
dark network
dark money network
analytical hierarchy process (AHP)
technique of order preference by similarity to ideal solution (TOPSIS)
game theory
cardinal utility
Nash equilibrium
Nash arbitration
security levels
dark network
dark money network
analytical hierarchy process (AHP)
technique of order preference by similarity to ideal solution (TOPSIS)
game theory
cardinal utility
Nash equilibrium
Nash arbitration
security levels
Advisors
Date of Issue
2016
Date
2016
Publisher
Language
Abstract
In 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.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1177/1548512915625337
Series/Report No
Department
Defense Analysis (DA)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
12 p.
Citation
Journal of Defense Modeling and
Simulation: Applications,
Methodology, Technology
1–12
Distribution Statement
Rights
This 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.