Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model
Summary: UIC model links utility-driven adoption with influence diffusion for complementary items. Greedy allocation achieves (1-1/e-ε) welfare despite non-submodular objective; bundleGRD scales and outperforms baselines on real and synthetic networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Prithu Banerjee
- 2. Wei Chen
- 3. Laks V.S. Lakshmanan
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,284 | CHASSIS: Conformity Meets Online Information Diffusion | 2020 | SIGMOD | 6.2824978e-05 |
| 6,983 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 4.8682622e-05 |
| 7,991 | Minimizing the Regret of an Influence Provider | 2021 | SIGMOD | 4.6083801e-05 |
| 8,589 | Maximizing Social Welfare in a Competitive Diffusion Model | 2021 | VLDB | 4.4853244e-05 |
| 10,161 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 4.1905499e-05 |
| 11,142 | Host Profit Maximization: Leveraging Performance Incentives and User Flexibility | 2024 | VLDB | 4.1905499e-05 |
| 11,204 | Mitigating Filter Bubbles Under a Competitive Diffusion Model | 2023 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 2,375 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB | 8.9401216e-05 |
| 2,490 | Online Topic-Aware Influence Maximization | 2015 | VLDB | 8.6500989e-05 |
| 4,219 | Revisiting the Stop-and-Stare Algorithms for Influence Maximization | 2017 | VLDB | 6.3432726e-05 |
Previous
Page 1 / 1
Next