Network Data Operations and Overlapping Partitions Based Methods for Large Networks R package netOP version 0.1.2 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. Software 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 Sayan Chakrabarty <sayanc@umich.edu> Comprehensive R Archive Network (CRAN) Sayan Chakrabarty [aut, cre] (ORCID: <https://orcid.org/0000-0003-2372-2076>) GPL (>= 2) 2026-09-27 application/tgz https://CRAN.R-project.org/package=netOP doi:10.32614/CRAN.package.netOP