Network Data Operations and Overlapping Partitions Based Methods for Large Networks
Overview
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.
- Revise the package description and explain method acronyms in response to CRAN review.
From NEWS.md in the release
Install
Health
- OK13 OKNow
- OK6 OK2026-09-28
Documentation
- Help pages
- 75 (4 internal)includes a package overview page
- Examples that run
- 82%54 run in a plain check (1 of them under a condition) · 12 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 80%
- Return-value docs
- 100%
- Help pages citing references
- 7%
Downloads
Repository
7 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/sayan-ch/netop on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
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Dependencies
Code & Tests
People & History
- 0.1.2Latest2026-09-27 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-09-27
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Copyright
- 2026 Sayan Chakrabarty
- Minimum R
- ≥ 4.1.0
- Download size
- 208 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("netOP")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.48550/arxiv.2504.06903, 10.5705/ss.202022.0108, 10.1093/biomet/asaa006, 10.1080/01621459.2016.1246365, 10.32614/cran.package.randnet.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.