Online-Ressource
Titel:	Higher-order systems
Mitwirkende:	Battiston, Federico [HerausgeberIn]
	Petri, Giovanni [HerausgeberIn]
Verf.angabe:	Federico Battiston, Giovanni Petri, editors
Verlagsort:	Cham
Verlag:	Springer
E-Jahr:	2022
Jahr:	2022.
Umfang:	1 Online-Ressource (X, 433 Seiten)
Gesamttitel/Reihe:	Understanding complex systems
	Springer eBook Collection
ISBN:	978-3-030-91374-8
Abstract:	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.
DOI:	doi:10.1007/978-3-030-91374-8
URL:	Resolving-System: https://doi.org/10.1007/978-3-030-91374-8
	Cover: https://swbplus.bsz-bw.de/bsz1800754175cov.jpg
	DOI: https://doi.org/10.1007/978-3-030-91374-8
Schlagwörter:	(s)Komplexes System    / (s)Ordnung n    / (s)Netzwerk    / (s)Hypergraph    / (s)Simplizialer Komplex    / (s)Datenanalyse    / (s)Persistente Homologie
Datenträger:	Online-Ressource
Sprache:	eng
Bibliogr. Hinweis:	Erscheint auch als : Druck-Ausgabe: Higher-order systems. - Cham : Springer, 2022. - X, 433 Seiten
K10plus-PPN:	1800754175
	Universitätsbibliothek
Lokale URL UB:	Zum Volltext