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.
Regards, Zahra On Thu, Jul 19, 2018 at 7:53 PM, Tiago de Paula Peixoto <ti...@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 <ti...@skewed.de> > _______________________________________________ > graph-tool mailing list > graph-tool@skewed.de > https://lists.skewed.de/mailman/listinfo/graph-tool >
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