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
Parents
98
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
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144

Australian National University
Canberra, Australia
6 h-index
15 publications
828 citations

Data61
Sydney, Australia
6 h-index
19 publications
1.1K citations
University of Michigan
Ann Arbor, United States
5 h-index
7 publications
303 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
5 h-index
11 publications
559 citations
Arizona State University
Tempe, United States
4 h-index
11 publications
356 citations
University of Washington
Seattle, United States
4 h-index
6 publications
3.8K citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
433 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
14 publications
790 citations
1–8 of 144
6 publications · 531 citations
6
h-index
Repository · 3 publications · 51 citations
3
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2 publications · 528 citations
2
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2 publications · 118 citations
2
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ISR · 2 publications · 413 citations
2
h-index
1–5