Higher-Order Systems / Understanding Complex Systems (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 433 Seiten, Englisch
- Herausgegeben: Federico Battiston, Giovanni Petri
- Verlag: Springer International Publishing
- ISBN-10: 3030913740
- ISBN-13: 9783030913748
- Erscheinungsdatum: 26.04.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 19 MB
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Sprache:
Englisch
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