From networks to optimal higher-order models of complex systems

Renaud Lambiotte; Martin Rosvall; Ingo Scholtes

doi:10.1038/s41567-019-0459-y

From networks to optimal higher-order models of complex systems

Renaud Lambiotte, Martin Rosvall, Ingo Scholtes

Résultats de recherche: Contribution à un journal/une revue › Article › Revue par des pairs

Résumé

Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.

langue originale	Anglais
Pages (de - à)	313-320
Nombre de pages	8
journal	Nature Physics
Volume	15
Numéro de publication	4
Les DOIs	https://doi.org/10.1038/s41567-019-0459-y
Etat de la publication	Publié - 25 avr. 2019

Accès au document

10.1038/s41567-019-0459-y

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Contient cette citation

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title = "From networks to optimal higher-order models of complex systems",

abstract = "Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.",

author = "Renaud Lambiotte and Martin Rosvall and Ingo Scholtes",

year = "2019",

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doi = "10.1038/s41567-019-0459-y",

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journal = "Nature Physics",

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