On 12.10.2016 11:59, isukritgupta wrote: > I calculate a normalisation constant for each iteration of the network > generated by 'mcmc_equilibrate'.

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mcmc_equilibrate() will generate fits of the SBM, i.e. partitions of the network according to the posterior probability. It will not generate networks. > This constant is the sum of probabilities > of each edge existing between all pairs of nodes in the graph. No, you should consider only all pairs of nodes that are _not_ connected in the graph. This is about predicting _missing_ edges. > To get the actual value of an edge existing in the graph, I divide the > probability of that edge existing in the graph by the above mentioned > constant. Yes. (Note that this probability will correspond to the question: Assuming there is only one missing edge in the network, what is the likelihood of it being a particular edge? You have to be sure this is what you want to compute.) -- Tiago de Paula Peixoto <ti...@skewed.de>

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