Network Diffusion Models

Network Diffusion Models is a computational framework that specifies how entities, information, or states propagate over a network structure by modeling the dynamics of transmission through nodes and edges over time.

458

Publications

26.7K

Citations

1.3K

Authors

569

Institutions

Publications per year

2017–2026

210

Authors

1.3K

  1. MG
    Manuel Gomez-Rodriguez

    Max Planck Institute for Software Systems, Germany

    16 publications · 2.4K citations

    16

    h-index

  2. WH
    William Hoppitt

    University of St Andrews, United Kingdom

    13 publications · 1.1K citations

    13

    h-index

  3. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    7 publications · 339 citations

    8

    h-index

  4. JL
    Jure Leskovec

    Stanford University, United States

    7 publications · 2.2K citations

    7

    h-index

  5. LS
    Le Song

    Georgia Institute of Technology, United States

    7 publications · 382 citations

    7

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 1.5K citations

    17

    h-index

  2. 15

    h-index

  3. Scientific Reports

    10 publications · 311 citations

    10

    h-index

  4. 7

    h-index

  5. IEEE Transactions on Network Science and Engineering

    NSE · 6 publications · 145 citations

    6

    h-index

1–5