Comments (4)
Can you somehow normalize by diagonal size?
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Or just don't compute it at the margin, and write in docsctring why it is not reliable, so we don't compute it. User can increase markov time min/max to have larger range of scale detection.
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I developed a new algorithm with @mauriciobarahona that seems to work better. The idea is to pool the NVI(t,t') matrix and look at the local minima of its diagonal to identify the block structures. I will create a new branch for my implementation once we merge the Leiden implementation. This new scale selection algorithm will need a slightly modified summary plot, I will try to adapt. Hopefully, I will be quick to update everything for our paper submission and not cause any delays.
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Excellent!
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Related Issues (20)
- improve sankey diagram HOT 7
- add ploting function of clustered adjacency
- handling weights=0 HOT 1
- Windows compatibility HOT 3
- fix pypi deploy with github action HOT 3
- update cli HOT 1
- stress test with large graphs HOT 1
- pyyaml install HOT 1
- Adding the feature to bigger libraries HOT 6
- integrate leiden algorithm HOT 3
- add optimal-scale detection in main run function HOT 1
- improve ttprime HOT 1
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- swap order of post-processing and ttprime computation
- installing bug HOT 2
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