Multilayer Network Science
From Cells to Societies
£17.00
Part of Elements in the Structure and Dynamics of Complex Networks
- Authors:
- Oriol Artime, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Barbara Benigni, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Giulia Bertagnolli, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Valeria d'Andrea, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Riccardo Gallotti, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Arsham Ghavasieh, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Sebastian Raimondo, Complex Multilayer Networks Lab, Fondazione Bruno Kessler, Italy
- Manlio De Domenico, Complex Multilayer Networks Lab, Fondazione Bruno Kessler and University of Padova, Italy
- Date Published: September 2022
- availability: Available
- format: Paperback
- isbn: 9781009087308
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Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last 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 biopolymers 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 one of the most seminal papers on this topic, the authors 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. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.
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×Product details
- Date Published: September 2022
- format: Paperback
- isbn: 9781009087308
- length: 75 pages
- dimensions: 228 x 152 x 8 mm
- weight: 0.21kg
- availability: Available
Table of Contents
1. Introduction
2. Representation of multilayer systems
3. Multilayer structural analysis
4. Multilayer dynamics
5. Frontiers
6. Conclusions
References.
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