Re: [graph-tool] Getting negative entropy/positive Log likelihood for a weighted network with positive edge weights.

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 <tiago@skewed.de>