Renormalization Of Networks

Renormalization of Networks is a theoretical framework in network science that systematically coarse-grains the structure of complex networks by identifying self-similar patterns across scales, enabling the analysis of scale-invariant properties in hierarchical and scale-free topologies.

38

Publications

2.1K

Citations

86

Authors

69

Institutions

Publications per year

2017–2026

10

Authors

86

  1. GB
    Golnoosh Bizhani

    University of Calgary, Canada

    3 publications · 36 citations

    3

    h-index

  2. PG
    Peter Grassberger

    University of Wuppertal, Germany

    3 publications · 36 citations

    3

    h-index

  3. MP
    Maya Paczuski

    University of Calgary, Canada

    3 publications · 36 citations

    3

    h-index

  4. AB
    Alain Barrat

    Centre National de la Recherche Scientifique, France

    2 publications · 105 citations

    2

    h-index

  5. LK
    Lazaros K. Gallos

    Aristotle University of Thessaloniki, Greece

    2 publications · 248 citations

    2

    h-index

1–5 of 86

Venues

  1. Physical Review E

    PRE · 4 publications · 106 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 84 citations

    4

    h-index

  3. Physical Review Letters

    PRL · 3 publications · 431 citations

    3

    h-index

  4. Physical review. B./Physical review. B

    PRB · 3 publications · 140 citations

    3

    h-index

  5. Journal of Physics A Mathematical and General

    2 publications · 86 citations

    2

    h-index

1–5