GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks
Summary: Models competitive IM as a multi-agent game among rival groups; introduces GetReal to compute best-response strategies and detect Nash equilibria under adversarial competition. Real-network experiments show superior influence with realistic strategy mixtures. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hui Li (Xidian University)
- 2. Sourav S Bhowmick (Nanyang Technological University)
- 3. Jiangtao Cui (Xidian University)
- 4. Yunjun Gao (Zhejiang University)
- 5. Jianfeng Ma (Xidian University)
BibTeX Citation
@inproceedings{li_sigmod15,
title = {{GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks}},
author = {Li, Hui and Bhowmick, Sourav S and Cui, Jiangtao and Gao, Yunjun and Ma, Jianfeng},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723710},
url = {https://dl.acm.org/doi/10.1145/2723372.2723710},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,919 | Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models | 2016 | SIGMOD | 9.4850778e-05 |
| 3,989 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB | 6.9716774e-05 |
| 11,216 | Influence Maximization via Vertex Countering | 2024 | VLDB | 5.093636e-05 |
| 11,345 | Host Profit Maximization: Leveraging Performance Incentives and User Flexibility | 2024 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 194 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.000259047 |
| 296 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB | 0.00022220351 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,752 | Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks | 2020 | VLDB |
| 2 | 3,989 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB |
| 3 | 1,531 | Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study | 2017 | SIGMOD |
| 4 | 6,415 | Influence Maximization in Real-World Closed Social Networks | 2023 | VLDB |
| 5 | 1,919 | Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models | 2016 | SIGMOD |
| 6 | 5,858 | Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model | 2019 | SIGMOD |
| 7 | 4,804 | Efficient Algorithms for Adaptive Influence Maximization | 2018 | VLDB |
| 8 | 2,547 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB |
| 9 | 7,181 | Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model | 2021 | VLDB |
| 10 | 8,595 | Maximizing Social Welfare in a Competitive Diffusion Model | 2021 | VLDB |