Network Change-point Detection

Network Change-Point Detection is a methodological framework within dynamic network analysis that identifies statistically significant temporal transitions in network structure by detecting abrupt changes in topological patterns across sequential network observations.

104

Publications

4.1K

Citations

291

Authors

150

Institutions

Publications per year

2017–2026

36

Authors

291

  1. WK
    Wei‐Shinn Ku

    Auburn University, United States

    3 publications · 308 citations

    3

    h-index

  2. AG
    Alexander G. Tartakovsky

    University of Southern California, United States

    3 publications · 634 citations

    3

    h-index

  3. CD
    Christophe Diot

    Sprint (United States), United States

    3 publications · 83 citations

    3

    h-index

  4. YY
    Yi Yu

    University of Science and Technology of China, China

    3 publications · 161 citations

    3

    h-index

  5. GD
    Giuseppe Di Battista

    Roma Tre University, Italy

    1 publications · 13 citations

    2

    h-index

1–5 of 291

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 169 citations

    7

    h-index

  2. IEEE Transactions on Signal Processing

    3 publications · 412 citations

    3

    h-index

  3. Statistics and Computing

    2 publications · 59 citations

    2

    h-index

  4. Information Sciences

    2 publications · 34 citations

    2

    h-index

  5. 2

    h-index

1–5