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.
Quantifying layer similarity in multiplex networks: a systematic study / Bródka, Piotr; Chmiel, Anna; Magnani, Matteo; Ragozini, Giancarlo. - In: ROYAL SOCIETY OPEN SCIENCE. - ISSN 2054-5703. - 5:8(2018), p. 171747.171747. [10.1098/rsos.171747]
Quantifying layer similarity in multiplex networks: a systematic study
Ragozini, Giancarlo
2018
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
