Thanks a lot for the advice! On Thu, Apr 26, 2018 at 5:26 PM, Tiago de Paula Peixoto <[email protected]> wrote:
> 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 <[email protected]> > _______________________________________________ > graph-tool mailing list > [email protected] > https://lists.skewed.de/mailman/listinfo/graph-tool >
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