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
