Hi Tiago,

I have another naive question: It is not still clear for me how I could pass different weighted graphs of each timestamp to this LayeredBlockState constructor while I want that each of these weighted graphs be considered as one layer of this multilayer network? Because the input is just a single graph.


On Thu, Jul 19, 2018 at 7:53 PM, Tiago de Paula Peixoto <tiago@skewed.de> wrote:
Am 19.07.2018 um 16:01 schrieb Zahra Sheikhbahaee:
> Thanks for the reply. In the section (VI) of your paper "Inferring the
> mesoscale structure of layered, edge-valued and time-varying networks", you
> used the layered stochastic block model for a temporal network. I have a
> similar data set which I do not want to fix the membership for the nodes of
> different layers to the same block over all layers (nodes can change their
> block memberships  over time). I am wondering again how I can use graph tool
> for this case?  Which method or constructor should I use?

It's always the same constructor, LayeredBlockState. To allow the membership
to change across layers, you need to set overlap=True.

Tiago de Paula Peixoto <tiago@skewed.de>
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