Model-independent embedding of directed networks into Euclidean and hyperbolic spaces

Numerous results support that networks representing the structure of complex systems can be accompanied by hidden metric spaces. The present paper introduces a framework for embedding directed networks into hyperbolic spaces using dimension reduction techniques and a universal conversion method betw...

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Bibliographic Details
Main Authors: Bianka Kovács, Gergely Palla
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-023-01143-x
Description
Summary:Numerous results support that networks representing the structure of complex systems can be accompanied by hidden metric spaces. The present paper introduces a framework for embedding directed networks into hyperbolic spaces using dimension reduction techniques and a universal conversion method between Euclidean and hyperbolic node coordinates.
ISSN:2399-3650