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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |