bhcd: Bayesian Hierarchical Community Discovery
An efficient Bayesian nonparametric model for discovering hierarchical community structure in social networks.
Parameter Tuning
There are five parameters (alpha, beta, lambda, delta, gamma) to be tuned, lines within interval (0,1) and satisifies the following constraint.
alpha > beta lambda > delta
Usage
Python wrapper.
You can run python bhcd.py to get the hierachical tree.
1 maintainer
Release files for bhcd 0.3.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bhcd-0.3.post1.tar.gz | 2.7 kB | Details |
Release files / bhcd-0.3.post1.tar.gz
| Download URL | bhcd-0.3.post1.tar.gz |
|---|---|
| Size | 2.7 kB |
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