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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-02-01
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Series: | Communications Physics |
Online Access: | https://doi.org/10.1038/s42005-023-01143-x |
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. |
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ISSN: | 2399-3650 |