Abstract: I will discuss the modeling of opinion dynamics on various types of networks. After introducing some general questions and ideas in the field, I will focus on bounded-confidence models (BCMs), in which nodes have continuous-valued opinions and update those opinions when they interact with nodes with sufficiently similar opinions. I will discuss generalizations of BCMs to hypergraphs, adaptive networks, and networks with node weights. I will discuss consensus, polarization, and fragmentation of opinions in these models. Time permitting, I will also discuss the coupling of opinion dynamics and disease spread using compartmental models.
Noyce Conference Room
US Mountain Time
Mason Porter (University of California, Los Angeles, SFI)
Mason PorterProfessor at UCLA, and External Professor at SFI