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[igraph] Significance level of Kolmogorov-Smirnov test in power_law_fit(


From: Daniele Capocefalo
Subject: [igraph] Significance level of Kolmogorov-Smirnov test in power_law_fit() output
Date: Thu, 15 Jun 2017 11:30:38 +0200
User-agent: Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Thunderbird/52.1.1

Hello everyone,


I was trying to fit a power law on a dataset of ~15K nodes and ~155K edges.

I obtained the following output (from the summary of the PowerLawFit object:

'Fitted power-law distribution on discrete data\n\nExponent (alpha) = 3.073111

Cutoff (xmin)     = 141.000000

Log-likelihood    = -1589.823179

H0: data was drawn from the fitted distribution

KS test statistic = 0.024000

p-value           = 0.997102

H0 could not be rejected at significance level 0.05'


so as you can see we are slightly above the critical point for scale-freeness assumption.


My question is how to interpret the p-value: H0 in this case means that the data are fit to a power law and therefore I can accept that alpha?


Thanks for your time,


Cheers,


D.


--

———
Daniele Capocefalo
Bioinformatics unit
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