Opinion Formation and Voting Models on Social Networks
Project Description

Opinion formation can be modeled by a multi-agent system interacting on a social network. The dynamics of the voting, in the presence of a deadline, will be analysed numerically. Various phases defined by dominance of a particular opinion (party) will also be studied using the physics of phase transition.

Supervisor
SZETO Kwok Yip
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

1. Read some papers in Physical Review E on opinion formation using statistical physics

2. Perform numerical simulation to do n-party voting model

3. Analytical work on the model to compare with numerical results

4. Extension to the study of the co-evolution of opinion and social network

Applicant's Learning Objectives

1. Understand some basic models of dynamics in multi-agent systems using statistical physics

2. Learn how to perform numerical simulation

3. Theoretical analysis of various phases of the model

Complexity of the project
Moderate