Comments (3)
Thanks, I'll look into it! The code is tested on weighted graphs, so in principle it should work. I'm not sure what is going on here, I'll have to take a closer look.
from louvain-igraph.
Initially, I overlooked it, but you are looking at the modularity that is provided by igraph
by default. This is indeed an unweighted variant. To get the quality value of the partition, you should call part.quality()
, which does provide the corrected weighted modularity. The confusion is understandable, I'll see if I can remove the modularity
variable in some way.
from louvain-igraph.
The modularity variable cannot be removed easily, and it would also create an inconsistency with the existing API from igraph
, so I am leaving it as is. So, to get the quality of the partition, you always have to call partition.quality()
, also when using louvain.ModularityVertexPartition
.
from louvain-igraph.
Related Issues (20)
- buildcfg.replace_static_libraries should avoid libm HOT 1
- How to cite the package HOT 1
- Weighted graph parameter HOT 3
- Do not know how to install louvain HOT 13
- "library not found for -lSystem" on mac due to old gcc via brew HOT 1
- issue installing louvain due to new naming of igraph? HOT 2
- Installation error HOT 4
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- Matching seurat's louvain clustering HOT 2
- install louvain issue for macOS HOT 3
- `louvain.set_rng_seed` throws error in current release HOT 4
- Is there a way to convert igraph.find_partition result in a dictionary with the original node ids in python? HOT 5
- failed installation on macOS big sur with m1 chip HOT 1
- No longer builds with setuptools 58 HOT 6
- module 'louvain' has no attribute 'RBConfigurationVertexPartitionWeightedLayers HOT 2
- BaseException: Could not construct partition: vector HOT 6
- How should I assign weights to different layers when doing community detection? HOT 1
- legacy-install-failure in pip install louvain HOT 3
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