Concepedia

Random Graph Comparison

Random Graph Comparison is a methodological framework within network science that distinguishes itself by systematically evaluating the structural properties of scale-free networks against those of classical random graphs to identify significant deviations indicative of non-random organization.

1

Publications

15

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–3 of 1

Authors

4

  1. LL
    Luigi Laura

    Sapienza University of Rome, Italy

    1 publications · 15 citations

    1

    h-index

  2. SM
    Stefano Millozzi

    Sapienza University of Rome, Italy

    1 publications · 15 citations

    1

    h-index

  3. SL
    Stefano Leonardi

    The University of Texas at Dallas, United States

    1 publications · 15 citations

    1

    h-index

  4. DD
    Debora Donato

    Yahoo (Spain), Spain

    1 publications · 15 citations

    1

    h-index

  5. CW
    Cheng Wang

    University of Notre Dame, United States

    1 publications · 10 citations

    0

    h-index

1–5 of 4

Institutions

3

  1. European University of Rome

    Rome, Italy

    1 h-index

    2 publications

    30 citations

  2. Centro de Investigación y Proyectos en Ambiente y Desarrollo

    Zapopan, Mexico

    1 h-index

    1 publications

    15 citations

  3. Sapienza University of Rome

    Rome, Italy

    1 h-index

    3 publications

    45 citations

  4. University of California, Irvine

    Irvine, United States

    1 publications

    10 citations

  5. University of Notre Dame

    Notre Dame, United States

    1 publications

    10 citations

1–5 of 3

Venues

  1. Computing in Science & Engineering

    1 publications · 15 citations

    1

    h-index

  2. Network Science

    NWS · 1 publications · 10 citations

1–3