Diffusion On Networks

Diffusion On Networks is a theoretical framework in network science that models the spread of entities such as information, behaviors, or diseases over interconnected systems by specifying the mechanisms and dynamics through which transmission propagates across network edges and nodes.

594

Publications

42.6K

Citations

1.4K

Authors

639

Institutions

Publications per year

2017–2026

230

Authors

1.4K

  1. MG
    Manuel Gomez-Rodriguez

    Max Planck Institute for Software Systems, Germany

    13 publications · 1.5K citations

    13

    h-index

  2. MO
    Matthew O. Jackson

    Stanford University, United States

    10 publications · 579 citations

    10

    h-index

  3. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    9 publications · 715 citations

    9

    h-index

  4. LS
    Le Song

    Georgia Institute of Technology, United States

    7 publications · 447 citations

    7

    h-index

  5. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    6 publications · 334 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. 20

    h-index

  2. Physical Review E

    PRE · 20 publications · 1.7K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 17 publications · 1.2K citations

    12

    h-index

  4. Scientific Reports

    11 publications · 511 citations

    11

    h-index

  5. Physical review. E

    PRE · 11 publications · 361 citations

    11

    h-index

1–5