This Senior Independent Study investigates opinion dynamics from a computational modeling perspective. We begin by looking into Markov chain theory as a potential technique for this study, however, this is found to be computationally infeasible. As a result, we then explore cellular automata and the more general field of agent-based modeling as methods to simulate social change. Inspired by the results of the Singaporean governments changing population policies, we investigate how government propaganda affects internally driven social change. Building upon an existing agent-based model that simulates how opinions spread from social influence, we develop a model that examines resulting opinion configurations when outside influences, namely government campaigns, are factored in.
Mathematics; Computer Science
Fultz, Trisha, "Exploring Opinion Dynamics From a Computational Science Perspective" (2012). Senior Independent Study Theses. Paper 933.
Bachelor of Arts
Senior Independent Study Thesis
© Copyright 2012 Trisha Fultz