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arXiv:1810.12630physics.soc-ph

Spreading of Memes on Multiplex Networks

Joseph D. O'Brien, Ioannis K. Dassios, James P. Gleeson

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Abstract

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., Phys.Rev. X., 2016] 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 behaviour 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.

arXiv comments
15 pages, 3 figures
Journal reference
New J. Phys. 21 (2019) 025001
DOI
doi:10.1088/1367-2630/ab05ef
Subjects
physics.soc-phPhysics and Society cs.SISocial and Information Networks

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    • You basically should read all of https://arxiv.org/list/physics.soc-ph/recent Physics and Society https://arxiv.org/list/cs.SI/recent Social and Information Networks Two random samplings look to be right on topic, search for survey papers in both disciplines. Spreading of Memes…

      sitkackView on HNParent context

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