Quantifying layer similarity in multiplex networks: A systematic study

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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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Bródka, P., Chmiel, A., Magnani, M., & Ragozini, G. (2018). Quantifying layer similarity in multiplex networks: A systematic study. Royal Society Open Science, 5(8). https://doi.org/10.1098/rsos.171747

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