Influencer Discovery

Influencer Discovery is a methodological framework within influencer analysis that identifies individuals with significant persuasive power or reach in a given domain or network through systematic data-driven evaluation.

56

Publications

2.7K

Citations

171

Authors

89

Institutions

Publications per year

2017–2026

29

Variants

Influencer Identification

Authors

171

  1. WW
    Wei Wang

    University of California, Los Angeles, United States

    2 publications · 32 citations

    2

    h-index

  2. SR
    Sara Rosenthal

    Columbia University, United States

    2 publications · 70 citations

    2

    h-index

  3. SH
    Sangki Han

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 22 citations

    2

    h-index

  4. QB
    Quan Bai

    Auckland University of Technology, New Zealand

    2 publications · 49 citations

    2

    h-index

  5. CZ
    Cheng Zheng

    University of California, Los Angeles, United States

    2 publications · 32 citations

    2

    h-index

1–5 of 171

Venues

  1. 2

    h-index

  2. Information Sciences

    2 publications · 228 citations

    2

    h-index

  3. Decision Support Systems

    2 publications · 454 citations

    2

    h-index

  4. Social Network Analysis and Mining

    2 publications · 92 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 129 citations

    2

    h-index

1–5