Spreading of Memes on Multiplex Networks

October 30, 2018 Β· Declared Dead Β· πŸ› New Journal of Physics

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Authors Joseph D. O'Brien, Ioannis K. Dassios, James P. Gleeson arXiv ID 1810.12630 Category physics.soc-ph Cross-listed cs.SI Citations 16 Venue New Journal of Physics Last Checked 3 months ago
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.
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