  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.
