Graduation Year
2024
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Science
Department
Mathematics
Reader 1
Heather Zinn Brooks
Reader 2
Andrew Bernoff
Terms of Use & License Information
Rights Information
© 2024 Tian Dong
Abstract
Mathematicians use models of opinion dynamics to describe how opinions in a group of people change over time, which can yield insight into mechanisms behind phenomena like polarization and consensus. In these models, mathematicians represent the community as a graph, where nodes represent agents and edges represent possible interactions. Opinion updates are modeled with a system of differential equations (ODEs). Our work focuses on the sigmoidal bounded confidence model (SBCM), where agents update their opinion toward a weighted average of their neighbors' opinions by weighting similar opinions more heavily. Using tools developed in physics (mean-field theory), we derive a continuity equation from the system of ODEs to further analyze the model's steady states and compare with numerical simulations.
Recommended Citation
Dong, Tian, "Exploring Sigmoidal Bounded Confidence Models with Mean Field Methods" (2024). HMC Senior Theses. 285.
https://scholarship.claremont.edu/hmc_theses/285