Information Cascades

Information Cascades is a network dynamics phenomenon in which individuals sequentially adopt a behavior or decision based on observing the actions of preceding agents, rather than independently acting on private information, leading to self-reinforcing propagation of information across a social or technological network.

283

Publications

31.3K

Citations

661

Authors

380

Institutions

Publications per year

2017–2026

99

Variants

Information Cascade

Authors

661

  1. JL
    Jure Leskovec

    Stanford University, United States

    10 publications · 2.1K citations

    10

    h-index

  2. DH
    David Hirshleifer

    National Bureau of Economic Research, United States

    8 publications · 10.6K citations

    8

    h-index

  3. SB
    Sushil Bikhchandani

    University of California, Los Angeles, United States

    7 publications · 10.6K citations

    7

    h-index

  4. IW
    Ivo Welch

    University of California, Los Angeles, United States

    7 publications · 10.6K citations

    7

    h-index

  5. AK
    Andreas Krause

    ETH Zurich, Switzerland

    5 publications · 1.5K citations

    5

    h-index

1–5 of 661

Venues

  1. SSRN Electronic Journal

    Repository · 19 publications · 728 citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 12 publications · 700 citations

    11

    h-index

  3. 8

    h-index

  4. Scientific Reports

    7 publications · 850 citations

    7

    h-index

  5. 7

    h-index

1–5