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.

References in corpus (3)

• Layer aggregation and reducibility of multilayer interconnected networks
• Emergence of network features from multiplexity
• Spreading processes in Multilayer Networks

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