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Localization of Laplacian eigenvectors on random networks
In large random networks, each eigenvector of the Laplacian matrix tends to localize on a subset of network nodes having similar numbers of edges, namely, the components of each Laplacian eigenvector take relatively large values only on a particular subset of nodes whose degrees are close. Although...
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| Publicado en: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5430689/ https://ncbi.nlm.nih.gov/pubmed/28442760 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-01010-0 |
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