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) <doi:10.48550/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.
| Version: |
1.0 |
| Imports: |
Matrix, stats, methods, randnet, RSpectra, irlba, data.tree, data.table, stringr, dendextend |
| Published: |
2024-02-02 |
| DOI: |
10.32614/CRAN.package.HCD |
| Author: |
Tianxi Li [aut, cre],
Lihua Lei [aut],
Sharmodeep Bhattacharyya [aut],
Purna Sarkar [aut],
Peter Bickel [aut],
Elizeveta Levina [aut] |
| Maintainer: |
Tianxi Li <tianxili at umn.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
HCD results |
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