Explore opinion models and social influence on networks in this 54-minute lecture by Mason Porter at IPAM UCLA. Delve into various types of models, including threshold models of social contagions, voter models coevolving with network structure, and bounded-confidence models with continuous opinions. Examine how these processes are affected by the networks on which they occur, and discover connections to opinion polarization and echo chambers in online social networks. Gain insights into social network dynamics, model assumptions, and methodologies used to study these phenomena. Understand concepts such as monotonicity, initial conditions, rewiring, and how network structures change over time. This comprehensive talk provides a deep dive into the intersection of social dynamics and network science, offering valuable knowledge for researchers and students interested in complex systems and social influence.