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.
@article{arxiv.1711.11335,
title = {Quantifying layer similarity in multiplex networks: a systematic study},
author = {Piotr Bródka and Anna Chmiel and Matteo Magnani and Giancarlo Ragozini},
journal= {arXiv preprint arXiv:1711.11335},
year = {2018}
}