I see now! Thanks for your help!
Daniele
On 04/05/17 15:24, Tamas Nepusz wrote:
varies consistenyl. As of an example, I'll post here the results
obtained using a network of 84 nodes and 221 edges and an alpha
estimated on 2.614071596
That's too small a network to make any meaningful estimation of an
exponent. At small sample sizes, power laws, exponential distributions
and many other distributions are practically indistinguishable from
each other. Also, when testing, turn off the finite size correction:
>>> g=Graph.Static_Power_Law(n=100000, m=250000,
exponent_out=2.61407159636724, multiple=False, loops=False,
finite_size_correction=False)
>>> power_law_fit(g.degree()).alpha
2.677378126993507
That's much closer.
T.
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Daniele Capocefalo
Bioinformatics unit
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