Higher-Order Systems

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149,79 

Understanding Complex Systems

ISBN: 3030913732
ISBN 13: 9783030913731
Herausgeber: Federico Battiston/Giovanni Petri
Verlag: Springer Verlag GmbH
Umfang: x, 433 S., 28 s/w Illustr., 84 farbige Illustr., 433 p. 112 illus., 84 illus. in color.
Erscheinungsdatum: 28.04.2022
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

This book discusses its potential to model real-world systems and how considering their higher-order organization can lead to the emergence of novel dynamical behavior. Over the last decades, networks have emerged as the paradigmatic framework to model complex systems. Yet, as simple collections of nodes and links, they are intrinsically limited to pairwise interactions, limiting our ability to describe, understand, and predict complex phenomena which arise from higher-order interactions. Here we introduce the new modeling framework of higher-order systems, where hypergraphs and simplicial complexes are used to describe complex patterns of interactions among any number of agents. This book is intended both as a first introduction and an overview of the state of the art of this rapidly emerging field, serving as a reference for network scientists interested in better modeling the interconnected world we live in.

Artikelnummer: 2966938 Kategorie:

Beschreibung

The book discusses the potential of higher-order interactions to model real-world relational systems. Over the last decade, networks have emerged as the paradigmatic framework to model complex systems. Yet, as simple collections of nodes and links, they are intrinsically limited to pairwise interactions, limiting our ability to describe, understand, and predict complex phenomena which arise from higher-order interactions. Here we introduce the new modeling framework of higher-order systems, where hypergraphs and simplicial complexes are used to describe complex patterns of interactions among any number of agents. This book is intended both as a first introduction and an overview of the state of the art of this rapidly emerging field, serving as a reference for network scientists interested in better modeling the interconnected world we live in.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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