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Multilayer Network Science: from Cells to Societies

Authors :
Artime, Oriol
Benigni, Barbara
Bertagnolli, Giulia
d'Andrea, Valeria
Gallotti, Riccardo
Ghavasieh, Arsham
Raimondo, Sebastian
De Domenico, Manlio
Publication Year :
2024

Abstract

Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of the field dealing with units interacting in multiple distinct ways, simultaneously -- was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymer networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after the publication of one of the most seminal papers on this topic, we review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics, and function. We discuss potential frontiers for this topic and the corresponding challenges in the field for the future.<br />Comment: Published in Cambridge Elements. Cambridge University Press; 2022

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2401.04589
Document Type :
Working Paper
Full Text :
https://doi.org/10.1017/9781009085809