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
Parents
283
Inferring networks of diffusion and influence
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause · 2010 · 692 citations
1–5 of 283
661
10
h-index
National Bureau of Economic Research, United States
8 publications · 10.6K citations
8
h-index
University of California, Los Angeles, United States
7 publications · 10.6K citations
7
h-index
7
h-index
5
h-index
1–5 of 661
380
University of Michigan
Ann Arbor, United States
11 h-index
24 publications
4.9K citations
University of California, Los Angeles
Los Angeles, United States
10 h-index
18 publications
8.2K citations
University of Southern California
Los Angeles, United States
9 h-index
16 publications
577 citations
Stanford University
Stanford, United States
8 h-index
17 publications
3.9K citations
California Institute of Technology
Pasadena, United States
8 h-index
12 publications
2.4K citations
Humboldt-Universität zu Berlin
Berlin, Germany
7 h-index
7 publications
790 citations
University of California, Irvine
Irvine, United States
6 h-index
11 publications
2.3K citations

National Bureau of Economic Research
Cambridge, United States
6 h-index
12 publications
4K citations
1–8 of 380
Repository · 19 publications · 728 citations
14
h-index
Repository · 12 publications · 700 citations
11
h-index
8 publications · 377 citations
8
h-index
7 publications · 850 citations
7
h-index
7 publications · 489 citations
7
h-index
1–5