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sparsecommunity  

Spectral Community Detection for Sparse Networks
View on CRAN: Click here


Download and install sparsecommunity package within the R console
Install from CRAN:
install.packages("sparsecommunity")

Install from Github:
library("remotes")
install_github("cran/sparsecommunity")

Install by package version:
library("remotes")
install_version("sparsecommunity", "0.1.1")



Attach the package and use:
library("sparsecommunity")
Maintained by
Neil Hwang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-08
Latest Update: 2026-04-08
Description:
Implements spectral clustering algorithms for community detection in sparse networks under the stochastic block model ('SBM') and degree-corrected stochastic block model ('DCSBM'), following the methods of Lei and Rinaldo (2015) <doi:10.1214/14-AOS1274>. Provides a regularized normalized Laplacian embedding, spherical k-median clustering for 'DCSBM', standard k-means for 'SBM', simulation utilities for both models, and a misclustering rate evaluation metric. Also includes the 'NCAA' college football network of Girvan and Newman (2002) <doi:10.1073/pnas.122653799> as a benchmark dataset, and the Bethe-Hessian community number estimator of Hwang (2023) <doi:10.1080/01621459.2023.2223793>.
How to cite:
Neil Hwang (2026). sparsecommunity: Spectral Community Detection for Sparse Networks. R package version 0.1.1, https://cran.r-project.org/web/packages/sparsecommunity. Accessed 03 Oct. 2026.
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