Hi,
I have a set of nodes and a dissimilarity matrix for them, as well as a csv
file in which the diss matrix has been converted to [node_1, node_2,
dissimilarity] format. I would like to visualize this as a graph in
Euclidean space (that is, similar nodes clumped together in clusters),
rather than the seriation visualization given by dissplot(). I am using
Network WorkBench for my visualizations and thus want the R output to be in
graphml. If I use, say, graph.data.frame(), it will read the dissimilarity
column as an edge attribute rather than as distance between nodes, which is
what I want.
How should I go about this?
Many thanks!
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