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Spreading of memes on multiplex networks

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journal contribution
posted on 2022-12-22, 10:57 authored by Joseph D. O’Brien, Ioannis KatsivalisIoannis Katsivalis, James P. Gleeson
A model for the spreading of online information or ‘memes’ on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of (Gleeson et al 2016 Phys. Rev.X) in two ways. First, even for a monoplex (single-layer) network, the model is defined for any specific network defined by its adjacency matrix, instead of being restricted to an ensemble of random networks. Second, a multiplex version of the model is introduced to capture the behavior of users who post information from one social media platform to another. In both cases the branching process analysis demonstrates 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 meme popularity similar to those observed in empirical data.

Funding

Dynamics of the metabolic state in the context of a systematic approach to the study of the processes of growth and development of higher plants and fungi

Russian Foundation for Basic Research

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History

Publication

New Journal of Physics 21, 025001

Publisher

IOP Publishing

Note

peer-reviewed

Other Funding information

SFI

Language

English

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  • MACSI - Mathematics Application Consortium for Science & Industry

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  • Mathematics & Statistics

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