netOP: Network Data Operations and Overlapping Partitions Based Methods for Large Networks

Implements methods for generating, embedding, and clustering random networks and for estimating and selecting statistical network models. Provides SONNET (Subsampling ON NETwork), a scalable subsampling-based divide-and-conquer method for community detection described by Chakrabarty, Sengupta and Chen (2025) <doi:10.5705/ss.202022.0108>, and NETCROP (NETwork CRoss-validation using Overlapping Partitions), an overlapping-partition framework for network cross-validation, model selection, and regularization tuning described by Chakrabarty, Sengupta and Chen (2026) <doi:10.48550/arXiv.2504.06903>. Also includes spectral and latent-space methods, loss functions, and helper functions for statistical analysis of network data.

Version: 0.1.2
Depends: R (≥ 4.1.0)
Imports: cluster, irlba, Matrix, methods, Rcpp, RSpectra, tibble
LinkingTo: Rcpp, RcppEigen
Suggests: entropy, future, future.apply, ggplot2, knitr, peakRAM, pkgdown, ps, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2026-09-27
DOI: 10.32614/CRAN.package.netOP (may not be active yet)
Author: Sayan Chakrabarty ORCID iD [aut, cre]
Maintainer: Sayan Chakrabarty <sayanc at umich.edu>
BugReports: https://github.com/sayan-ch/netOP/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: 2026 Sayan Chakrabarty
netOP copyright details
URL: https://github.com/sayan-ch/netOP, https://sayan-ch.github.io
NeedsCompilation: yes
Citation: netOP citation info
Materials: README, NEWS
CRAN checks: netOP results

Documentation:

Reference manual: netOP.html , netOP.pdf
Vignettes: Choosing a Method (source, R code)
Getting Started with netOP (source, R code)

Downloads:

Package source: netOP_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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