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Multilayer Networks
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Multilayer Networks: Structure and Function

Ginestra Bianconi

Abstract

Multilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; sp ... More

Keywords: multilayer network, multiplex network, multi-slice temporal network, network of network, interdependent network, multilayer network structure, multilayer network dynamics, Network Science, Data Science

Bibliographic Information

Print publication date: 2018 Print ISBN-13: 9780198753919
Published to Oxford Scholarship Online: July 2018 DOI:10.1093/oso/9780198753919.001.0001

Authors

Affiliations are at time of print publication.

Ginestra Bianconi, author
Reader in Applied Mathematics, School of Mathematical Sciences, Queen Mary University of London, UK