Virality Detection
Virality Detection is a computational method designed to identify content that exhibits rapid and widespread dissemination across social networks by analyzing engagement dynamics and propagation patterns distinct from ordinary information diffusion.
116
Publications
10.3K
Citations
327
Authors
182
Institutions
Publications per year
2017–2026
59
Parents
116
Mining knowledge-sharing sites for viral marketing
Matthew Richardson, Pedro Domingos · 2002 · 1.6K citations
Predicting popular messages in Twitter
Liangjie Hong, Ovidiu Dan, Brian D. Davison · 2011 · 576 citations
1–5 of 116
327
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182

Data61
Sydney, Australia
7 h-index
23 publications
1.2K citations

Australian National University
Canberra, Australia
5 h-index
13 publications
870 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
5 h-index
14 publications
628 citations
Arizona State University
Tempe, United States
5 h-index
15 publications
322 citations
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
204 citations
Trento RISE (Italy)
Trento, Italy
3 h-index
3 publications
96 citations
University of Washington
Seattle, United States
3 h-index
5 publications
3.8K citations
Michigan State University
East Lansing, United States
3 h-index
11 publications
717 citations
1–8 of 182
9 publications · 1.3K citations
9
h-index
3 publications · 147 citations
3
h-index
Repository · 3 publications · 42 citations
3
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Repository · 2 publications · 31 citations
2
h-index
2 publications · 91 citations
2
h-index
1–5