Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models

Discovering low-dimensional structure in real-world networks requires a suitable null model that defines the absence of meaningful structure. Here we introduce a spectral approach for detecting a network’s low-dimensional structure, and the nodes that participate in it, using any null model. We use...

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Detalles Bibliográficos
Autores principales: Humphries, Mark D., Caballero, Javier A., Evans, Mat, Maggi, Silvia, Singh, Abhinav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253422/
https://www.ncbi.nlm.nih.gov/pubmed/34214126
http://dx.doi.org/10.1371/journal.pone.0254057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253422/
https://www.ncbi.nlm.nih.gov/pubmed/34214126
http://dx.doi.org/10.1371/journal.pone.0254057

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