Virality Prediction

Virality Prediction is a computational method that distinguishes itself by estimating the likelihood and extent of information dissemination across social networks before it achieves widespread propagation.

98

Publications

8.7K

Citations

287

Authors

144

Institutions

Publications per year

2017–2026

49

Authors

287

  1. MR
    Marian-Andrei Rizoiu

    Australian National University, Australia

    4 publications · 149 citations

    4

    h-index

  2. LX
    Lexing Xie

    Australian National University, Australia

    4 publications · 149 citations

    4

    h-index

  3. MC
    Manuel Cebrián

    Data61, Australia

    3 publications · 144 citations

    3

    h-index

  4. PS
    Paulo Shakarian

    Arizona State University, United States

    3 publications · 80 citations

    3

    h-index

  5. HS
    Huawei Shen

    Chinese Academy of Sciences, China

    3 publications · 165 citations

    3

    h-index

1–5 of 287

Venues

  1. 6

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 51 citations

    3

    h-index

  3. Scientific Reports

    2 publications · 528 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 118 citations

    2

    h-index

  5. Information Systems Research

    ISR · 2 publications · 413 citations

    2

    h-index

1–5