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.

Chakrabarty S, Sengupta S, Chen Y (2026). “Network Cross-Validation and Model Selection via Subsampling.” arXiv, 2504.06903. doi:10.48550/arXiv.2504.06903. 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. 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. 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. 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. R package version 1.0; source of the ECV implementation incorporated and adapted in netOP, https://CRAN.R-project.org/package=randnet.

Corresponding BibTeX entries:

  @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},
  }

  @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},
  }

  @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},
  }

  @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},
  }

  @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},
  }

  @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},
  }