Efficient Algorithms for Adaptive Influence Maximization
Summary: Adaptive IM in batches via AdaptGreedy, using non-adaptive IM as surrogates. Introduces EPIC to lower expected error, achieving 1 - exp(xi -1) (b=1) and 1 - exp(xi -1 +1/e) (b>1); theory plus real-network experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Han
- 2. Keke Huang
- 3. Xiaokui Xiao
- 4. Jing Tang
- 5. Aixin Sun
- 6. Xueyan Tang
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,668 | Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened | 2020 | SIGMOD | 8.3432296e-05 |
| 5,170 | Pricing Influential Nodes in Online Social Networks | 2020 | VLDB | 5.6416844e-05 |
| 6,181 | Efficient Approximation Algorithms for Adaptive Seed Minimization | 2019 | SIGMOD | 5.1641945e-05 |
| 6,669 | Influence Maximization in Real-World Closed Social Networks | 2023 | VLDB | 4.9629357e-05 |
| 7,991 | Minimizing the Regret of an Influence Provider | 2021 | SIGMOD | 4.6083801e-05 |
| 8,007 | Analysis of Influence Contribution in Social Advertising | 2022 | VLDB | 4.604154e-05 |
| 8,737 | Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee | 2024 | SIGMOD | 4.4520434e-05 |
| 8,808 | Efficient and Effective Algorithms for Revenue Maximization in Social Advertising | 2021 | SIGMOD | 4.4413146e-05 |
| 11,210 | Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach | 2023 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
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 |
| 437 | Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks | 2016 | SIGMOD | 0.00023237348 |
| 1,798 | Online Processing Algorithms for Influence Maximization | 2018 | SIGMOD | 0.00010500792 |
| 4,219 | Revisiting the Stop-and-Stare Algorithms for Influence Maximization | 2017 | VLDB | 6.3432726e-05 |
Previous
Page 1 / 1
Next