Network Orthogonality

Network Orthogonality is a structural property in network science that characterizes the degree to which the connectivity patterns of nodes are mutually independent, such that the influence or information flow along one pathway does not systematically interfere with or correlate to that of another.

32

Publications

2.5K

Citations

120

Authors

59

Institutions

Publications per year

2017–2026

18

Authors

120

  1. SC
    Symeon Chatzinotas

    University of Luxembourg, Luxembourg

    2 publications · 115 citations

    2

    h-index

  2. XZ
    Xinyu Zhang

    University of Wisconsin–Madison, United States

    2 publications · 84 citations

    2

    h-index

  3. SW
    Shengjin Wang

    Tsinghua University, China

    2 publications · 933 citations

    2

    h-index

  4. LZ
    Liang Zheng

    Australian National University, Australia

    2 publications · 933 citations

    2

    h-index

  5. YY
    Yang Yang

    Chinese Academy of Sciences, China

    2 publications · 595 citations

    2

    h-index

1–5 of 120

Venues

  1. Neural Networks

    3 publications · 80 citations

    3

    h-index

  2. Journal of Lightwave Technology

    2 publications · 75 citations

    2

    h-index

  3. IEEE Communications Letters

    2 publications · 43 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 143 citations

    2

    h-index

  5. Remote Sensing

    1 publications · 20 citations

    1

    h-index

1–5