Mathematical modeling and analysis of a dark money network

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.