Virality Modeling
Virality Modeling is a computational framework that quantifies and predicts the likelihood and extent of content dissemination across social networks by integrating propagation dynamics, user engagement patterns, and network topology to distinguish mechanisms driving organic reach amplification.
117
Publications
14.4K
Citations
326
Authors
161
Institutions
Publications per year
2017–2026
47
Parents
117
The dynamics of viral marketing
Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman · ACM Transactions on the Web · 2007 · 2.1K citations · Full text
Mining knowledge-sharing sites for viral marketing
Matthew Richardson, Pedro Domingos · 2002 · 1.6K citations
The Structural Virality of Online Diffusion
Sharad Goel, Ashton Anderson, Jake M. Hofman et al. · Management Science · 2015 · 649 citations
Social Sciences, Infectious Diseases, Collective Behavior +14
1–5 of 117
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161

Data61
Sydney, Australia
6 h-index
19 publications
1.1K citations
University of Michigan
Ann Arbor, United States
6 h-index
6 publications
2.7K citations

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

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
5 h-index
11 publications
559 citations
Microsoft (United States)
Redmond, United States
4 h-index
7 publications
1.9K citations
Singapore Management University
Singapore, Singapore
4 h-index
9 publications
198 citations

Cornell University
Ithaca, United States
4 h-index
8 publications
268 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
2.7K citations
1–8 of 161
9 publications · 684 citations
9
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Repository · 3 publications · 84 citations
3
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3 publications · 152 citations
3
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2 publications · 113 citations
2
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2 publications · 128 citations
2
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1–5