Influence Maximization in Real-World Closed Social Networks
Summary: Addresses influence maximization in closed networks where seeds can recommend a few existing friends; problem shown NP-hard. Proposes an efficient iterative edge-augmentation that inserts a bounded number of original edges into the diffusion graph to boost spread, validated on real networks and a live deployment. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shixun Huang
- 2. Wenqing Lin
- 3. Zhifeng Bao
- 4. Jiachen Sun
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,800 | Triangular Stability Maximization by Influence Spread over Social Networks | 2023 | VLDB | 4.6437574e-05 |
| 8,904 | Efficient Influence Minimization via Node Blocking | 2024 | VLDB | 4.4229886e-05 |
| 8,909 | Shortest Paths Discovery in Uncertain Networks via Transfer Learning | 2023 | SIGMOD | 4.4229886e-05 |
| 9,094 | Managing Conflicting Interests of Stakeholders in Influencer Marketing | 2023 | SIGMOD | 4.3925641e-05 |
| 10,325 | Augmenting Social Influence of Uncertain Seeds via Probabilistic Link Insertion | 2026 | VLDB | 4.1905499e-05 |
| 11,083 | Fast and Space-Efficient Parallel Algorithms for Influence Maximization | 2024 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 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 |
| 2,226 | Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models | 2016 | SIGMOD | 9.2532857e-05 |
| 2,485 | Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks | 2020 | VLDB | 8.6657901e-05 |
| 4,369 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB | 6.2399378e-05 |
| 5,092 | Efficient Algorithms for Adaptive Influence Maximization | 2018 | VLDB | 5.6987819e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,077 | Efficient Location-Aware Influence Maximization | 2014 | SIGMOD | 5.7098565e-05 |
| 2,485 | Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks | 2020 | VLDB | 8.6657901e-05 |
| 4,369 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB | 6.2399378e-05 |
| 5,092 | Efficient Algorithms for Adaptive Influence Maximization | 2018 | VLDB | 5.6987819e-05 |
| 7,903 | Coarsening Massive Influence Networks for Scalable Diffusion Analysis | 2017 | SIGMOD | 4.6170606e-05 |
| 8,589 | Maximizing Social Welfare in a Competitive Diffusion Model | 2021 | VLDB | 4.4853244e-05 |
| 2,490 | Online Topic-Aware Influence Maximization | 2015 | VLDB | 8.6500989e-05 |
| 8,626 | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks | 2018 | SIGMOD | 4.4774498e-05 |
| 90 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB | 0.00052018478 |
| 2,375 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB | 8.9401216e-05 |