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Fast Generation of Sparse Random Kernel Graphs

The development of kernel-based inhomogeneous random graphs has provided models that are flexible enough to capture many observed characteristics of real networks, and that are also mathematically tractable. We specify a class of inhomogeneous random graph models, called random kernel graphs, that p...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Hagberg, Aric, Lemons, Nathan
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4565681/
https://ncbi.nlm.nih.gov/pubmed/26356296
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0135177
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