Spreading of Memes on Multiplex Networks
October 30, 2018 Β· Declared Dead Β· π 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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