To cite netOP or a method implemented by netOP, use the relevant entry:

  Chakrabarty S (2026). _Network Data Operations and Overlapping
  Partitions Based Methods for Large Networks_. R package version
  0.1.2, <https://github.com/sayan-ch/netOP>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {Network Data Operations and Overlapping Partitions Based Methods for Large Networks},
    author = {Sayan Chakrabarty},
    year = {2026},
    note = {R package version 0.1.2},
    url = {https://github.com/sayan-ch/netOP},
  }

  Chakrabarty S, Sengupta S, Chen Y (2026). “Network Cross-Validation
  and Model Selection via Subsampling.” _arXiv_, *2504.06903*.
  doi:10.48550/arXiv.2504.06903
  <https://doi.org/10.48550/arXiv.2504.06903>. NETCROP: NETwork
  CRoss-Validation using Overlapping Partitions.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Network Cross-Validation and Model Selection via Subsampling},
    author = {Sayan Chakrabarty and Srijan Sengupta and Yuguo Chen},
    year = {2026},
    journal = {arXiv},
    volume = {2504.06903},
    doi = {10.48550/arXiv.2504.06903},
    note = {NETCROP: NETwork CRoss-Validation using Overlapping Partitions},
  }

  Chakrabarty S, Sengupta S, Chen Y (2025). “Subsampling Based
  Community Detection for Large Networks.” _Statistica Sinica_, *35*,
  1627 - 1648. doi:10.5705/ss.202022.0108
  <https://doi.org/10.5705/ss.202022.0108>. SONNET: Subsampling on
  Network.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Subsampling Based Community Detection for Large Networks},
    author = {Sayan Chakrabarty and Srijan Sengupta and Yuguo Chen},
    year = {2025},
    journal = {Statistica Sinica},
    volume = {35},
    pages = {1627 -- 1648},
    doi = {10.5705/ss.202022.0108},
    note = {SONNET: Subsampling on Network},
  }

  Li T, Levina E, Zhu J (2020). “Network Cross-Validation by Edge
  Sampling.” _Biometrika_, *107*(2), 257-276.
  doi:10.1093/biomet/asaa006 <https://doi.org/10.1093/biomet/asaa006>.
  Methodological reference for edge cross-validation.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Network Cross-Validation by Edge Sampling},
    author = {Tianxi Li and Elizaveta Levina and Ji Zhu},
    year = {2020},
    journal = {Biometrika},
    volume = {107},
    number = {2},
    pages = {257--276},
    doi = {10.1093/biomet/asaa006},
    note = {Methodological reference for edge cross-validation},
  }

  Chen K, Lei J (2018). “Network Cross-Validation for Determining the
  Number of Communities in Network Data.” _Journal of the American
  Statistical Association_, *113*(521), 241-251.
  doi:10.1080/01621459.2016.1246365
  <https://doi.org/10.1080/01621459.2016.1246365>. Methodological
  reference for node-based network cross-validation.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Network Cross-Validation for Determining the Number of Communities in Network Data},
    author = {Kehui Chen and Jing Lei},
    year = {2018},
    journal = {Journal of the American Statistical Association},
    volume = {113},
    number = {521},
    pages = {241--251},
    doi = {10.1080/01621459.2016.1246365},
    note = {Methodological reference for node-based network cross-validation},
  }

  Li T, Levina E, Zhu J, Le C (2025). _randnet: Random Network Model
  Estimation, Selection and Parameter Tuning_.
  doi:10.32614/CRAN.package.randnet
  <https://doi.org/10.32614/CRAN.package.randnet>. R package version
  1.0; source of the ECV implementation incorporated and adapted in
  netOP, <https://CRAN.R-project.org/package=randnet>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {randnet: Random Network Model Estimation, Selection and Parameter Tuning},
    author = {Tianxi Li and Elizeveta Levina and Ji Zhu and Can M. Le},
    year = {2025},
    note = {R package version 1.0; source of the ECV implementation incorporated and adapted in netOP},
    doi = {10.32614/CRAN.package.randnet},
    url = {https://CRAN.R-project.org/package=randnet},
  }