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Spreading of memes on multiplex networks

Author(s)
O'Brien, Joseph D.  
Dassios, Ioannis K.  
Gleeson, James P.  
Uri
http://hdl.handle.net/10197/10578
Date Issued
2019-02-28
Date Available
2019-05-21T11:50:29Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IOP Publishing
Journal
New Journal of Physics
Volume
21
Issue
2
Copyright (Published Version)
2019 the Authors
Subjects

Multiplex networks

Branching processes

Social contagion

Competition

DOI
10.1088/1367-2630/ab05ef
Web versions
http://dx.doi.org/10.1088/1367-2630/ab05ef
Language
English
Status of Item
Peer reviewed
ISSN
1367-2630
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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O’Brien_2019_New_J._Phys._21_025001.pdf

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1.02 MB

Format

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Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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