Package: sparsecommunity
Title: Spectral Community Detection for Sparse Networks
Version: 0.1.1
Authors@R: person("Neil", "Hwang", role = c("aut", "cre"),
    email = "neil.hwang@bcc.cuny.edu",
    comment = c(ORCID = "0000-0002-5175-9397"))
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>.
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.2.3
Depends: R (>= 4.0.0)
Imports: graphics, Matrix, methods, RSpectra, stats
Suggests: irlba, clue, igraph, igraphdata, testthat (>= 3.0.0), knitr,
        rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-02 10:58:16 UTC; neilh
Author: Neil Hwang [aut, cre] (ORCID: <https://orcid.org/0000-0002-5175-9397>)
Maintainer: Neil Hwang <neil.hwang@bcc.cuny.edu>
Repository: CRAN
Date/Publication: 2026-04-08 14:10:02 UTC
Built: R 4.5.2; ; 2026-04-08 22:28:46 UTC; unix
