Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks
Summary: SSA and D-SSA: fast sampling frameworks for Influence Maximization in billion-scale networks, offering up to 1200× speedups over IMM with (1−1/e−ε) guarantee. Stop-and-Stare uses exponential checkpoints to certify quality, achieving minimal sampling with strong theoretical guarantees. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hung T. Nguyen
- 2. My T. Thai
- 3. Thang N. Dinh
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 180 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.00037101192 |
| 338 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD | 0.00026987013 |
| 1,857 | Real-time Targeted Influence Maximization for Online Advertisements | 2015 | VLDB | 0.00010318371 |
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