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Efficient embedding of complex networks to hyperbolic space via their Laplacian
The different factors involved in the growth process of complex networks imprint valuable information in their observable topologies. How to exploit this information to accurately predict structural network changes is the subject of active research. A recent model of network growth sustains that the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957117/ https://www.ncbi.nlm.nih.gov/pubmed/27445157 http://dx.doi.org/10.1038/srep30108 |