Spreading of memes on multiplex networks
Abstract
A model for the spreading of online information on multiplex networks is introduced and analyzed using branching-process methods. We demonstrate that the dynamical system is, in the limit of low innovation, poised near a critical point, which is known to lead to heavy-tailed distributions of popularity similar to empirical data.
Date
Jul 5, 2021 3:30 PM
Event
Networks 2021
Location
Indiana, USA
Joey O'Brien
Principal Consultant
Principal Consultant in the Quant Services division of LSEG, specializing in model validation, derivative pricing, and risk solutions.