Ni! Hi Philipp,
Yes, there are more straightforward paths to the same information:
# get some graph and model it
import graph_tool.all as gt
g = gt.collection.data["celegansneural"]
s = gt.minimize_nested_blockmodel_dl(g)
# get your groups of vertices in a dictionary
l0 = s.levels[0]
block2vertices = dict()
for i in range(l0.B):
block2vertices[i] = gt.find_vertex(l0.g, l0.b, i)
Cheers
.~ยด
On Tue, Jun 19, 2018 at 7:01 PM, P-M <[email protected]> wrote:
> (I should probably add that I am only interested in relations between the
> nodes in a given block with each other, so am happy to work with vertex
> filters.)
>
>
>
> --
> Sent from: http://main-discussion-list-for-the-graph-tool-project.
> 982480.n3.nabble.com/
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