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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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Pubblicato in:PLoS One
Autori principali: Hagberg, Aric, Lemons, Nathan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2015
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Accesso online: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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