arXiv · 1711.11335
Quantifying layer similarity in multiplex networks: a systematic study
Abstract
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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Piotr Bródka, Anna Chmiel, Matteo Magnani, Giancarlo Ragozini. 2017-11-30. Quantifying layer similarity in multiplex networks: a systematic study. https://doi.org/10.1098/rsos.171747
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