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Spectral embedding of multiplex networks /

by Santoro, Andrea (Saintgold) [aut]; Nicosia, Vincenzo (Katolaz) [ths]; Petri, Giovanni [opn].
Material type: materialTypeLabelBookPublisher: Catania : Scuola Superiore di Catania, 2018Description: 65 p. ; 25 cm.Subject(s): Network analysis (Planning)Online resources: Abstract
Contents:
Introduction -- Single-layer networks -- Multi-layer networks -- Spectral similarity measure on multiplex -- Conclusion -- Bibliography.
Dissertation note: 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 Abstract: 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.
List(s) this item appears in: Tesi di Laurea, Diploma, Dottorato, Master
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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. [58]-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.

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