On 26.04.2018 15:29, Zahra Sheikhbahaee wrote:
> In my network, beside to the information of which two nodes create an edge,
> I have the information of the time duration which an edge has lasted. I
> included this information as weight and used them as the covariate
>  of the SBM. The results seems more reasonable compared to not considering
> any weights. However, the number of blocks changes slightly in each time I
> ran my script with the piece of code given before. So I was wondering if I
> must run minimize_nested_blockmodel_dl function by determining the higher
> number of MCMC iterations as argument, and then I would get more accurate
> results with highest confidence interval or I just need to repeat this
> function in a loop and then compute the mean number of blocks? I hope my
> question makes sense.

You should run the algorithm multiple times, and choose the result with the
smallest description length. You get this value via the method state.entropy().

Best,
Tiago

--
Tiago de Paula Peixoto <tiago@skewed.de>
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