HCD
Hierarchical Community Detection by Recursive Partitioning
Hierarchical community detection on networks by a recursive spectral partitioning strategy, which is shown to be effective and efficient in Li, Lei, Bhattacharyya, Sarkar, Bickel, and Levina (2018) <arXiv:1810.01509>. The package also includes a data generating function for a binary tree stochastic block model, a special case of stochastic block model that admits hierarchy between communities.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | HCD_1.0.tar.gz |
8.5 KiB |
1.0 |
rolling linux/jammy R-4.5 | HCD_1.0.tar.gz |
50.9 KiB |
1.0 |
rolling linux/noble R-4.5 | HCD_1.0.tar.gz |
50.8 KiB |
1.0 |
latest source/ R- | HCD_1.0.tar.gz |
8.5 KiB |
1.0 |
latest linux/jammy R-4.5 | HCD_1.0.tar.gz |
50.9 KiB |
1.0 |
latest linux/noble R-4.5 | HCD_1.0.tar.gz |
50.8 KiB |
1.0 |
2026-04-23 source/ R- | HCD_1.0.tar.gz |
8.5 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | HCD_1.0.zip |
53.0 KiB |
1.0 |
2025-04-20 source/ R- | HCD_1.0.tar.gz |
8.5 KiB |