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Many thanks for making this great package available!
I was wondering if you are considering to include new modularity-based community detection approaches using, perhaps, density modularity scores. The scores developed by Chen et al. (https://arxiv.org/abs/1507.00787) and Mula and Veltri (https://arxiv.org/abs/1908.08452) seem to be a right addition to your package.
Kind regards,
Ivan
The text was updated successfully, but these errors were encountered:
Sorry for the late response! I would definitely be open to more quality functions being added to the package. I don't have much time to do that myself at the moment. However, I would be open to accept PRs on this. In principle, contributing a new quality function is not too difficult, the instructions are here.
If I do find some time at some point, I'll try to see if I can implement it myself, but this might take a longer time.
Thanks for taking into consideration my enhancement request and for providing the link with instructions to implement a new modularity. Unfortunately, I am not a good C++ programmer. But, I searched on internet and found this repository with two density-based modularity scores:
Hi @vtraag
Many thanks for making this great package available!
I was wondering if you are considering to include new modularity-based community detection approaches using, perhaps, density modularity scores. The scores developed by Chen et al. (https://arxiv.org/abs/1507.00787) and Mula and Veltri (https://arxiv.org/abs/1908.08452) seem to be a right addition to your package.
Kind regards,
Ivan
The text was updated successfully, but these errors were encountered: