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Spreading of memes on multiplex networks

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dc.contributor.author O'Brien, Joseph D.
dc.contributor.author Dassios, Ioannis K.
dc.contributor.author Gleeson, James P.
dc.date.accessioned 2019-03-28T14:37:40Z
dc.date.available 2019-03-28T14:37:40Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/10344/7732
dc.description peer-reviewed en_US
dc.description.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 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. en_US
dc.language.iso eng en_US
dc.publisher IOP Publishing en_US
dc.relation.ispartofseries New Journal of Physics;21: 025001
dc.relation.uri https://doi.org/10.1088/1367-2630/ab05ef
dc.subject multiplex networks en_US
dc.subject branching processes en_US
dc.title Spreading of memes on multiplex networks en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1088/1367-2630/ab05ef
dc.contributor.sponsor SFI en_US
dc.relation.projectid 16/IA/4470 en_US
dc.relation.projectid 16/RC/3918 en_US
dc.relation.projectid 15/IA/3074 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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