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CMX Student/Postdoc Seminar

Friday, November 13, 2020
1:00pm to 2:00pm
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Bounded-confidence models for network extensions
Michelle Feng, Postdoctoral Scholar, Computing and Mathematical Science, Caltech,

In this talk, I will discuss several extensions to bounded-confidence models, as well as preliminary results on their behaviors. I will give a brief introduction to bounded-confidence and its applications before introducing extensions to multilayer networks, hypergraphs, and adaptive networks. I will present numerical simulations on these various network extensions, describing differences in behavior between these bounded-confidence models and traditional ones. I will also discuss some theoretical results concerning convergence behaviors of the extended model. This talk will be aimed at a general computational audience, assuming no prior familiarity with bounded-confidence or opinion dynamics.

For more information, please contact Jolene Brink by phone at 6263952813 or by email at jbrink@caltech.edu or visit CMX Website.