Popularity Prediction for Social Media over Arbitrary Time Horizons
Summary: Self-excited Hawkes point process with a growth-rate predictor for popularity across arbitrary horizons, fusing static features and observed growth. A scalable, horizon-agnostic model that outperforms horizon-specific baselines on Facebook page data with billions of views. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Daniel Haimovich
- 2. Dima Karamshuk
- 3. Thomas J. Leeper
- 4. Evgeniy Riabenko
- 5. Milan Vojnovic
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,292 | CHASSIS: Conformity Meets Online Information Diffusion | 2020 | SIGMOD | 6.2885419e-05 |
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