Higher-order systems / Federico Battiston, Giovanni Petri, editors

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Understanding complex systems | Springer eBook CollectionPublisher: Cham : Springer, 2022Description: 1 Online-Ressource (X, 433 Seiten)ISBN:

9783030913748

Subject(s):

Additional physical formats: 9783030913731 | 9783030913755 | 9783030913762 | Erscheint auch als: Higher-order systems. Druck-Ausgabe. Cham : Springer, 2022. X, 433 SeitenDDC classification:

530.1 23

DOI: DOI: 10.1007/978-3-030-91374-8Online resources:

Contents:

Summary: 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.PPN: PPN: 1800754175Package identifier: Produktsigel: ZDB-2-PHA | ZDB-2-SEB | ZDB-2-SXP

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