Quantifying layer similarity in multiplex networks: a systematic study

Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers. We provide a taxonomy and experimental evaluation of approaches to compare layers in multiplex networks. Our taxon...

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Detalles Bibliográficos
Autores principales: Bródka, Piotr, Chmiel, Anna, Magnani, Matteo, Ragozini, Giancarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124071/
https://www.ncbi.nlm.nih.gov/pubmed/30224981
http://dx.doi.org/10.1098/rsos.171747
Descripción
Sumario:Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers. We provide a taxonomy and experimental evaluation of approaches to compare layers in multiplex networks. Our taxonomy includes, systematizes and extends existing approaches, and is complemented by a set of practical guidelines on how to apply them.

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