Katz Centrality

Katz Centrality is a node-level centrality measure in network analysis that generalizes degree centrality by assigning scores based on the number of directed paths leading to a given node, with longer paths discounted by a decay factor to ensure convergence.

53

Publications

2.7K

Citations

122

Authors

92

Institutions

Publications per year

2017–2026

30

Authors

122

  1. DJ
    Desmond J. Higham

    University of Strathclyde, United Kingdom

    4 publications · 182 citations

    4

    h-index

  2. EP
    Eleonora Patacchini

    Einaudi Institute for Economics and Finance, Italy

    3 publications · 923 citations

    3

    h-index

  3. YL
    Ye Li

    Harbin Medical University, China

    3 publications · 114 citations

    3

    h-index

  4. ED
    Edward Denbee

    Bank of England, United Kingdom

    3 publications · 114 citations

    3

    h-index

  5. DA
    David A. Bader

    Georgia Institute of Technology, United States

    3 publications · 49 citations

    3

    h-index

1–5 of 122

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 126 citations

    4

    h-index

  2. Journal of Complex Networks

    2 publications · 62 citations

    2

    h-index

  3. Physical review. E

    PRE · 2 publications · 50 citations

    2

    h-index

  4. IEEE Access

    2 publications · 45 citations

    2

    h-index

  5. 2

    h-index

1–5