Am 04.03.22 um 06:37 schrieb Eli Draizen:
I think I was able to figure it out using the code from the
"Characterizing the posterior distribution" section. I start by
equilibrating a degree-corrected NestedBlockState with edge weights and
then inferring partition modes with ModeClusterState. Is this the same
as running minimize_nested_blockmodel_dl?
No, this is not the same. ModeClusterStates characterizes the whole
distribution of answers, while minimize_blockmodel_dl() finds the single
most likely/compressive partition.
Are the minimize* functions not used anymore?
Yes they are. They have different goals.
Also, is it normal to have inferred only one mode?
Yes, it can happen. This means the solutions are clustered around a
single typical solution, rather than several different ones.
This is discussed in this paper:
https://dx.doi.org/10.1103/PhysRevX.11.021003
Best,
Tiago
--
Tiago de Paula Peixoto <ti...@skewed.de>
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