Statistical power, accuracy, reproducibility and robustness of a graph clusterability test

HIGHLIGHTS

  • who: Pierre Miasnikof from the University of Toronto, Toronto, ON, Canada have published the article: Statistical power, accuracy, reproducibility and robustness of a graph clusterability test, in the Journal: (JOURNAL)
  • what: The aim of this test is to determine if a graph meets the necessary structural conditions to be summarized meaningfully through vertex clusters. Since it is based on sampling the authors provide a focused examination of the test `s sensitivity to sample size. In closing this short literature review, it must be mentioned that graph testing was initially introduced by Goldreich et_al in the . . .

     

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