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.

Joey O'Brien

Senior Quantitative Analyst

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