Author Correction: The physics of spreading processes in multilayer networks
By Manlio De Domenico, Clara Granell, M. A. Porter, Alex Arenas. 2016
465 citations recorded by the source corpus.
In the version of this Progress Article originally published, the left and right panels of Fig. 3, clarifying the details indicated within the centre panel, were mistakenly interchanged. This has now been corrected in all versions of the Progress Article.
Subfields: Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/8d97151a5429ed0e8b6b4b5d0bd6a077e31cd2e8
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In Computer Vision and Pattern Recognition
In Statistical and Nonlinear Physics
- M. A. Porter
- Naoki Masuda
- Renaud Lambiotte
- Matjaz Perc
- Guido Caldarelli
- Andrea Gabrielli
- Fabio Saracco
- Tiziano Squartini
Citations in the corpus
- The statistical physics of real-world networks (2018, background): “[144] M.”
- Random walks and diffusion on networks (2016, methodology): “4]. One can also combine RWs with other dynamical processes to model real-world phenomena in fascinating and insightful ways. For example, one can couple RWs to other processes in multilayer networks [62, 405], where it is important to study scenarios such as infection spreading coupled to human/ani”
- Network science of biological systems at different scales: A review. (2017, background): “Furthermore, following the advances in the MLN theory, many endeavors were devoted to the description of epidemic-like spreading processes on top of multilayered interconnected complex networks [166].”