Combining Blotto Networks and Voter Models to Simulate Voter Behavior in Response to Competitive Election Spending

In the past, the Voter Model has been explicitly used to model the impact of propaganda on a dynamic, interconnected population, and certain factors have been identified that influence the behavior of voters when under outside influence. The Blotto Game has also been explicitly used to study information wars between two opposing parties, whether in regards to a political issue or advertising war. Both the graph theory behind the Voter Model and the game theory aspects of the Blotto Game are relevant to the behavior of voters or consumers when they are under the influence of competing propaganda campaigns, and for this reason both are useful to understand the most effective spending strategy. In this project, we seek to combine the two problems into a Voter-Blotto Game and examine what components of the graph most effect its value in the eyes of the competing players.