Am 01.03.21 um 17:19 schrieb ulgenklc:
Ahh, yes I noticed that when I scanned through the previous posts, sorry for
replication. I have three more quick questions:
1) If I fitted a different SBM to splitted the graph, wouldn't the
communities in individual layers be temporally discrete? That's not quite
what I want because I want to track an evolution, but I'm open to process
that result in a temporally overlapping fashion(some sort of set matching
algorithms between layers.)
I'm not sure exactly what you mean, but if you want to "align" the
different partitions you can take a look at
https://graph-tool.skewed.de/static/doc/inference.html#graph_tool.inference.partition_modes.PartitionModeState
There is an example of this alignment being done here:
https://graph-tool.skewed.de/static/doc/demos/inference/inference.html#sampling-from-the-posterior-distribution
2) When I pass overlap =True to LayeredBlockState, I have NxT many nodes as
a result like you said, that's all fine. However, now I can't get the node
membership using .get_blocks().
levels = states[0].get_levels()
levels[0].get_blocks() is a list of length M(total number of edges in the
network) which should be a list of length NxT, isn't it? Again, it feels
like I'm missing something very trivial here...
The overlapping block model consists of a labeling of the half-edges of
the graph. Since each half-edge can belong to only one layer, you can
then tell how the membership of the respective node has changed in the
time slice. Please take a look at the documentation on how to extract
this information, e.g. via
https://graph-tool.skewed.de/static/doc/inference.html#graph_tool.inference.overlap_blockmodel.OverlapBlockState.get_overlap_blocks
3) Also, is there a method for levels[0] that I can call to get the total
number of communities up front? I can see the number of blocks when I do
states[0].print_summary() but I need the integer value of this number for
preprocessing..
It's worthwhile to peruse the documentation, which contains all the
answers to questions such as this:
https://graph-tool.skewed.de/static/doc/inference.html#graph_tool.inference.blockmodel.BlockState.get_nonempty_B
--
Tiago de Paula Peixoto <[email protected]>
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