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
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Joey O'Brien
Data Scientist/Consultant

Consultant in quantitative finance and data science for Acadia, working in R and Python.

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