Abstract

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.

Advisor

Byrnes, Denise

Second Advisor

Hartman, James

Department

Mathematics; Computer Science

Disciplines

Applied Mathematics

Publication Date

2012

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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© Copyright 2012 Trisha Fultz