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 firstname.lastname@example.org 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",
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
different layers to the same block over all layers (nodes can change
block memberships over time). I am wondering again how I can use graph
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.
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