Maximizing Social Welfare in a Competitive Diffusion Model
Summary: Introduces utility-driven competitive diffusion (UIC), modeling economic incentives and welfare across all competing items rather than one-item adoption under pure competition. Proves strong inapproximability, then gives instance-dependent algorithms and a (1−1/e−ε) guarantee in a restricted case. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Prithu Banerjee (University of British Columbia)
- 2. Wei Chen (Microsoft)
- 3. Laks V.S. Lakshmanan (University of British Columbia)
BibTeX Citation
@article{banerjee_vldb21,
title = {{Maximizing Social Welfare in a Competitive Diffusion Model}},
author = {Banerjee, Prithu and Chen, Wei and Lakshmanan, Laks V.S.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {4},
pages = {613--625},
doi = {10.14778/3436905.3436920},
url = {https://doi.org/10.14778/3436905.3436920},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,345 | Host Profit Maximization: Leveraging Performance Incentives and User Flexibility | 2024 | VLDB | 5.093636e-05 |
| 11,403 | Mitigating Filter Bubbles Under a Competitive Diffusion Model | 2023 | SIGMOD | 5.093636e-05 |
| 11,409 | Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach | 2023 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 315 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD | 0.00021436156 |
| 453 | Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks | 2016 | SIGMOD | 0.00018145895 |
| 1,478 | Online Processing Algorithms for Influence Maximization | 2018 | SIGMOD | 0.00010651983 |
| 2,260 | Online Topic-Aware Influence Maximization | 2015 | VLDB | 8.8526838e-05 |
| 2,547 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB | 8.4331576e-05 |
| 3,639 | Revisiting the Stop-and-Stare Algorithms for Influence Maximization | 2017 | VLDB | 7.2335041e-05 |
| 3,966 | Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret | 2015 | VLDB | 6.9848297e-05 |
| 4,795 | Revenue Maximization in Incentivized Social Advertising | 2017 | VLDB | 6.5032332e-05 |
| 5,858 | Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model | 2019 | SIGMOD | 6.0641406e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,345 | Host Profit Maximization: Leveraging Performance Incentives and User Flexibility | 2024 | VLDB |
| 2 | 5,710 | Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? | 2016 | SIGMOD |
| 3 | 194 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD |
| 4 | 4,804 | Efficient Algorithms for Adaptive Influence Maximization | 2018 | VLDB |
| 5 | 296 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB |
| 6 | 6,415 | Influence Maximization in Real-World Closed Social Networks | 2023 | VLDB |
| 7 | 315 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD |
| 8 | 7,181 | Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model | 2021 | VLDB |
| 9 | 2,547 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB |
| 10 | 5,858 | Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model | 2019 | SIGMOD |