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Repository Impact

This page summarizes public adoption and citation signals for the Network Traffic Classification repository and its associated paper.

Snapshot date: June 2, 2026.

Public Signals

Signal Value Source
GitHub stars 40 GitHub repository API and stargazers API
GitHub forks 11 GitHub repository API and forks API
GitHub watchers/subscribers 2 GitHub repository API
Open GitHub issues 0 GitHub repository API
Crossref cited-by count 14 Crossref work metadata
Google Scholar citation profile Available Author-maintained Google Scholar profile
Paper references in Crossref 42 Crossref work metadata

These are public, reproducible signals. GitHub traffic referrers, viewer geography, clone history, and private demographic data are not exposed through unauthenticated public APIs.

Google Scholar is also useful for showing broader citation visibility, but it does not provide a stable public API for automated repository documentation. Use the author profile below as the primary Scholar-facing link and refresh Scholar counts manually when needed:

https://scholar.google.com/citations?view_op=list_works&hl=en&user=8CqVGlkAAAAJ

Star Timeline

GitHub exposes starred_at timestamps for public stargazers when the stargazers API is requested with the star media type. The repository has received stars across six calendar years.

Year Stars
2021 7
2022 13
2023 11
2024 5
2025 3
2026 1

Notable public star milestones:

Milestone User Date
First recorded star ViewFuture March 10, 2021
Most recent recorded star in this snapshot SamithaDeshan January 18, 2026

Highest star-activity months in the public snapshot:

Month Stars
February 2022 3
March 2022 3
September 2023 2
May 2024 2
March 2025 2

Fork Timeline

Fork activity shows that researchers and developers have copied the repository for further exploration over multiple years.

Year Forks
2020 1
2021 1
2022 3
2023 4
2024 1
2025 1

Notable public fork milestones:

Milestone Repository Date
First recorded fork skilyxx/Network-Traffic-Classification September 20, 2020
Most recent recorded fork in this snapshot wangzhiwei1888/Network-Traffic-Classification September 23, 2025

Citation Graph

The associated article was published in Connection Science and is the primary scholarly reference for the code and dataset.

flowchart LR
    Repo["GitHub repository<br/>Network Traffic Classification"]
    Dataset["nDPI flow dataset<br/>300,000+ flows"]
    Paper["Connection Science article<br/>DOI: 10.1080/09540091.2020.1870437"]
    Methods["Classical ML + PAA<br/>DT, RF, KNN, DNN, PAA"]
    Citations["Crossref cited-by<br/>14 works as of June 2, 2026"]
    Scholar["Google Scholar profile<br/>Complementary citation index"]
    Users["Open-source users<br/>40 stars, 11 forks"]

    Dataset --> Methods
    Methods --> Paper
    Paper --> Repo
    Paper --> Citations
    Paper --> Scholar
    Repo --> Users
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Scholarly Metadata

Field Value
Title A dynamic network traffic classifier using supervised ML for a Docker-based SDN network
Journal Connection Science
Publication date January 17, 2021
Volume / Issue 33 / 3
Pages 693-718
DOI 10.1080/09540091.2020.1870437
Crossref cited-by count 14
Google Scholar profile https://scholar.google.com/citations?view_op=list_works&hl=en&user=8CqVGlkAAAAJ

Source Notes

  • GitHub repository metadata: https://api.github.com/repos/pritom007/Network-Traffic-Classification
  • GitHub stargazer timing: https://api.github.com/repos/pritom007/Network-Traffic-Classification/stargazers
  • GitHub fork timing: https://api.github.com/repos/pritom007/Network-Traffic-Classification/forks
  • Crossref metadata: https://api.crossref.org/works/10.1080/09540091.2020.1870437
  • Paper page: https://doi.org/10.1080/09540091.2020.1870437
  • Google Scholar profile: https://scholar.google.com/citations?view_op=list_works&hl=en&user=8CqVGlkAAAAJ

To refresh this page, repeat the public metadata queries, manually check Google Scholar, and update the snapshot date and tables.

You can also run:

python scripts/collect_repo_impact.py