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Network Anatomy Controlling Abrupt-like Percolation Transition

We virtually dissect complex networks in order to understand their internal structure, just as doctors do with the bodies of animals. Our novel method classifies network links into four categories: bone, fat, cartilage, and muscle, based on network connectivity. We derive an efficient percolation st...

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Detalles Bibliográficos
Autores principales: Kawamoto, Hirokazu, Takayasu, Hideki, Takayasu, Misako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428047/
https://www.ncbi.nlm.nih.gov/pubmed/28279026
http://dx.doi.org/10.1038/s41598-017-00242-4