Information flow in political elections: a stochastic perspective
Physics and Society
2020-09-14 v1 Applications
Abstract
Often times, a candidate's attractiveness is directly associated with his clear ideologies and opinions on various policies and social issues. Using the ideas of stochastic differential equations and Ornstein-Uhlenbeck Process, we develop a phenomenological model to understand the effect of (un)clearly communicating a candidate's stance on policies to the voting public. We will show that, counter intuitively, there are quantifiable advantages to be vague on one's stance.
Keywords
Cite
@article{arxiv.2009.05198,
title = {Information flow in political elections: a stochastic perspective},
author = {Santosh Kumar Radha},
journal= {arXiv preprint arXiv:2009.05198},
year = {2020}
}