Network Diffusion Algorithms

Network Diffusion Algorithms is a class of computational methods designed to model and simulate the spread of entities such as information, behaviors, or diseases over a network structure by specifying rules for transmission between connected nodes.

107

Publications

5.8K

Citations

328

Authors

176

Institutions

Publications per year

2017–2026

52

Authors

328

  1. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    15 publications · 2.3K citations

    14

    h-index

  2. RA
    Reza Abdolee

    McGill University, Canada

    3 publications · 59 citations

    3

    h-index

  3. HZ
    Haiquan Zhao

    Southwest Jiaotong University, China

    3 publications · 65 citations

    3

    h-index

  4. BC
    Benoı̂t Champagne

    McGill University, Canada

    3 publications · 67 citations

    3

    h-index

  5. WW
    Wenyuan Wang

    Southwest Jiaotong University, China

    2 publications · 43 citations

    2

    h-index

1–5 of 328

Venues

  1. IEEE Transactions on Signal Processing

    6 publications · 1.3K citations

    6

    h-index

  2. Signal Processing

    6 publications · 140 citations

    6

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 62 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 36 citations

    2

    h-index

  5. 2

    h-index

1–5