Thanks a lot for the advice!

On Thu, Apr 26, 2018 at 5:26 PM, Tiago de Paula Peixoto <tiago@skewed.de> 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 <tiago@skewed.de>

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