Multilayer Network Science: From Cells to Societies

Networks are mathematical models that represent the structure of complex systems, such as cells, societies, and biopolymers. Multilayer network science is an effective modeling and analytical framework for these systems, covering theoretical aspects and direct applications to real-world coupled/interdependent systems. The authors discuss potential frontiers and challenges for this topic in the future.

Format: Paperback / softback
Length: 75 pages
Publication date: 15 September 2022
Publisher: Cambridge University Press

Networks are incredibly useful mathematical models for representing the intricate structure of complex systems, spanning from individual cells to entire societies. Over the past decade, multilayer network science has emerged as a powerful and versatile approach for modeling and analyzing a wide range of empirical systems. This field focuses on studying units that interact in multiple distinct ways simultaneously, encompassing a diverse spectrum of phenomena. From biopolymer networks like interactomes and metabolomes to neuronal networks like connectomes, and even social networks to urban and transportation networks, multilayer network science has proven to be an invaluable tool for understanding the underlying dynamics and functions of these systems.

In this Element, we take a look back at a decade since one of the most influential papers in this field was published. The authors review the key aspects of multilayer network science, covering both theoretical foundations and practical applications to real-world coupled/interdependent systems. They discuss the multilayer structure, dynamics, and functions of these systems, highlighting their relevance in various domains. Additionally, the authors explore potential future directions for this research area and the challenges that lie ahead.

Multilayer network science has revolutionized our understanding of complex systems by providing a holistic framework that captures the intricate interplay between different components. Its versatility and effectiveness have made it a valuable tool for researchers across various disciplines, from biology and physics to social sciences and engineering. As we continue to advance our knowledge and technologies, we can expect multilayer network science to play an even more significant role in shaping our understanding of the world around us.

Weight: 196g
ISBN-13: 9781009087308