Temporal Network Diffusion

Temporal Network Diffusion is a computational framework within dynamic network analysis that models the spread of entities or information through time-varying network structures by explicitly accounting for the temporal ordering and duration of interactions.

16

Publications

807

Citations

39

Authors

41

Institutions

Publications per year

2017–2026

10

Authors

39

  1. PH
    Petter Holme

    Umeå University, Sweden

    3 publications · 183 citations

    3

    h-index

  2. BA
    B. Aditya Prakash

    Virginia Tech, United States

    2 publications · 72 citations

    2

    h-index

  3. AB
    Alain Barrat

    Centre National de la Recherche Scientifique, France

    2 publications · 32 citations

    2

    h-index

  4. SE
    Sorour E. Amiri

    Virginia Tech, United States

    1 publications · 15 citations

    1

    h-index

  5. AB
    Aditya Bharadwaj

    Virginia Tech, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 39

Venues

  1. Scientific Reports

    3 publications · 146 citations

    3

    h-index

  2. Physical review. E

    PRE · 2 publications · 32 citations

    2

    h-index

  3. New Generation Computing

    1 publications · 61 citations

    1

    h-index

  4. Information Sciences

    1 publications · 30 citations

    1

    h-index

  5. Nature Communications

    1 publications · 42 citations

    1

    h-index

1–5