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.