Multiplex Centrality

Multiplex Centrality is a network centrality measure that evaluates the importance of a node in a multiplex network by integrating its connectivity patterns across multiple layers, distinguished from single-layer centrality measures through its explicit consideration of inter-layer dependencies and cross-layer topological roles.

23

Publications

1.3K

Citations

63

Authors

46

Institutions

Publications per year

2017–2026

16

Authors

63

  1. MS
    Massimo Stella

    University of Southampton, United Kingdom

    3 publications · 127 citations

    3

    h-index

  2. GB
    Ginestra Bianconi

    Queen Mary University of London, United Kingdom

    3 publications · 161 citations

    3

    h-index

  3. MB
    Marco Bardoscia

    Bank of England, United Kingdom

    2 publications · 57 citations

    2

    h-index

  4. GF
    Gerardo Ferrara

    Bank of England, United Kingdom

    2 publications · 57 citations

    2

    h-index

  5. NC
    Nichol Castro

    University of Kansas, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 63

Venues

  1. Chaos Solitons & Fractals

    2 publications · 66 citations

    2

    h-index

  2. Journal of Complex Networks

    2 publications · 156 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. International Journal of Finance & Economics

    IJFE · 1 publications · 47 citations

    1

    h-index

1–5