Community Detection In Diffusion

Community Detection in Diffusion is a computational framework that identifies densely connected substructures within networks by analyzing the spatiotemporal patterns of information propagation, distinguishing itself from static community detection methods through its explicit modeling of dynamic diffusion processes.

17

Publications

400

Citations

60

Authors

34

Institutions

Publications per year

2017–2026

9

Authors

60

  1. SW
    Shuhui Wang

    Chinese Academy of Sciences, China

    1 publications · 51 citations

    1

    h-index

  2. PL
    Ping Li

    Southwest Petroleum University, China

    1 publications · 31 citations

    1

    h-index

  3. WH
    Wynne Hsu

    National University of Singapore, Singapore

    1 publications · 11 citations

    1

    h-index

  4. GB
    Gianluca Bonifazi

    Marche Polytechnic University, Italy

    1 publications · 19 citations

    1

    h-index

  5. FC
    Francesco Cauteruccio

    University of Calabria, Italy

    1 publications · 19 citations

    1

    h-index

1–5 of 60

Venues

  1. Scientific Reports

    1 publications · 31 citations

    1

    h-index

  2. IEEE Transactions on Signal Processing

    1 publications · 56 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 51 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 21 citations

    1

    h-index

1–5