Am 10.01.19 um 04:27 schrieb isukritgupta:
> Dear Tiago, I am trying to model a weighted dense network with edge weights
> in the range 0 to 1, with the non-hierarchical SBM for both degree corrected
> and non-degree corrected versions. However, I get negative entropy for both
> dc and ndc SBMs. I have attached a sample network for your consideration
> along with a minimal working example from my code. Thanks for your time!

When using real edge covariates, the overall likelihood becomes a
probability *density*. Since the probability density can exceed 1 in value,
its log can be positive, and hence the entropy can be negative. This is normal.

-- 
Tiago de Paula Peixoto <[email protected]>
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