|Location||Call number||Status||Date due|
|Sala B : Armadio Tesi||THS_2018 003.72 S2372 (Browse shelf)||Available|
Tesi di diploma di 2° livello per la Classe delle Scienze Sperimentali Diploma di 2° livello Scuola Superiore di Catania, Catania, Italy 2018 A.A. 2017/2018
Includes bibliographical references (p. -65).
Introduction -- Single-layer networks -- Multi-layer networks -- Spectral similarity measure on multiplex -- Conclusion -- Bibliography.
Tesi discussa il 16/02/2018.
Multiplex networks have emerged as a powerful framework to study complex systems characterized by non-trivial relationships at different concurrent layers. However, having access to more detailed information about a multi-dimensional system can sometimes make its analysis more cumbersome. As a consequence, distinguishing relevant from redundant information is becoming a central problem in the study of multi-layer networks. In this work we propose a spectral method to produce meaningful embeddings of a multiplex network into a low-dimensional space, in such a way that the position of each node in the embedding space reflects its role in the multiplex with respect to a given structural property.