Multilayer Networks: Structure and Function

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

Multilayer Networks

Structure and Function

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

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English

Oxford University Press
27 October 2022

Combinatorics & graph theory; Applied mathematics; Statistical physics; Computer science

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by several interacting networks. Multilayer networks research has been propelled forward by the wide realm of applications in social, biological and infrastructure networks and the large availability of network data, as well as by the significance of recent results, which have produced important advances in this rapidly growing field. This book presents a comprehensive account of this emerging field. It provides a theoretical introduction to the main results of multilayer network science.

By: Ginestra Bianconi (Reader in Applied Mathematics Reader in Applied Mathematics School of Mathematical Sciences Queen Mary University of London UK)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 247mm, Width: 172mm, Spine: 20mm
Weight: 808g
ISBN: 9780192865540
ISBN 10: 0192865544
Pages: 416
Publication Date: 27 October 2022
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Ginestra Bianconi is Reader (Associate Professor) in Applied Mathematics and Director of the MSc in Network Science at the School of Mathematical Sciences, Queen Mary University of London. Physicist by training, since 2001 she has made network theory and its applications her central subject of investigation publishing more than one hundred papers on the subject. Currently her research focuses on multilayer networks, network geometry and percolation theory.