Candidate Voter Dynamics
Christoph Borgers, Natasa Dragovic, Arkadz Kirshtein
TL;DR
This work develops a space-time-continuous Hegselmann-Krause framework to model how dynamic electorates interact with shifting political candidates. It merges voter dynamics, represented as a Gaussian-mixture density evolving under a bounded-confidence-like interaction, with a dynamic candidate optimization where vote shares drive velocity updates for candidate positions. The authors derive closed-form expressions for share shares and their gradients, demonstrate discontinuous dependence of final candidate positions on parameters such as voter loyalty $\gamma$ and open-mindedness $\nu$, and extend the model to a three-candidate setting that exhibits coalition formation and fragmentation. The study highlights a fundamental mechanism by which political strategy can respond abruptly to changes in the electorate, and it points to rich avenues for extension, including higher-dimensional issues, diffusion, charisma effects, and empirical parameter fitting.
Abstract
We model dynamically changing candidate positions in the face of a dynamic electorate. To formulate our equations, we use a space-time-continuous Hegselmann-Krause equation, which we solve using a particle method. We use the combined candidate-voter model to demonstrate the possibility of discontinuous jumps in candidate behavior as parameters of the model are varied. We also extend the analysis to a three candidate scenario. We observe that depending on the parameters, candidates do not always come or stay together at their dynamically evolving position.
