| 436 |
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks |
2016 |
SIGMOD |
0.00023259324 |
| 1,652 |
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study |
2017 |
SIGMOD |
0.00011010086 |
| 1,801 |
Online Processing Algorithms for Influence Maximization |
2018 |
SIGMOD |
0.00010510943 |
| 2,220 |
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models |
2016 |
SIGMOD |
9.2622402e-05 |
| 2,371 |
From Competition to Complementarity: Comparative Influence Diffusion and Maximization |
2016 |
VLDB |
8.9482922e-05 |
| 2,486 |
Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks |
2020 |
VLDB |
8.6741469e-05 |
| 2,664 |
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened |
2020 |
SIGMOD |
8.3512717e-05 |
| 3,636 |
Efficient and Effective Algorithms for Clustering Uncertain Graphs |
2019 |
VLDB |
6.8976555e-05 |
| 4,220 |
Revisiting the Stop-and-Stare Algorithms for Influence Maximization |
2017 |
VLDB |
6.3493792e-05 |
| 4,292 |
CHASSIS: Conformity Meets Online Information Diffusion |
2020 |
SIGMOD |
6.2885419e-05 |
| 4,371 |
Real-Time Influence Maximization on Dynamic Social Streams |
2017 |
VLDB |
6.2459569e-05 |
| 5,083 |
Revenue Maximization in Incentivized Social Advertising |
2017 |
VLDB |
5.7108274e-05 |
| 5,090 |
Efficient Algorithms for Adaptive Influence Maximization |
2018 |
VLDB |
5.7042676e-05 |
| 5,170 |
Pricing Influential Nodes in Online Social Networks |
2020 |
VLDB |
5.6471109e-05 |
| 5,359 |
Discovering Your Selling Points: Personalized Social Influential Tags Exploration |
2017 |
SIGMOD |
5.5485493e-05 |
| 5,938 |
Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model |
2019 |
SIGMOD |
5.2650733e-05 |
| 6,086 |
Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? |
2016 |
SIGMOD |
5.21857e-05 |
| 6,158 |
The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches |
2020 |
SIGMOD |
5.1800945e-05 |
| 6,179 |
Efficient Approximation Algorithms for Adaptive Seed Minimization |
2019 |
SIGMOD |
5.1691599e-05 |
| 6,545 |
Clustering Uncertain Graphs |
2018 |
VLDB |
5.0193115e-05 |
| 6,669 |
Influence Maximization in Real-World Closed Social Networks |
2023 |
VLDB |
4.9677027e-05 |
| 7,267 |
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties |
2022 |
VLDB |
4.7819966e-05 |
| 7,323 |
Dynamic Influence Analysis in Evolving Networks |
2016 |
VLDB |
4.7625647e-05 |
| 7,396 |
Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model |
2021 |
VLDB |
4.7419296e-05 |
| 7,451 |
Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks |
2023 |
SIGMOD |
4.7263711e-05 |
| 7,798 |
Triangular Stability Maximization by Influence Spread over Social Networks |
2023 |
VLDB |
4.6482149e-05 |
| 7,904 |
Coarsening Massive Influence Networks for Scalable Diffusion Analysis |
2017 |
SIGMOD |
4.6214923e-05 |
| 7,935 |
Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation |
2023 |
SIGMOD |
4.613363e-05 |
| 8,003 |
Analysis of Influence Contribution in Social Advertising |
2022 |
VLDB |
4.6085729e-05 |
| 8,591 |
Maximizing Social Welfare in a Competitive Diffusion Model |
2021 |
VLDB |
4.4896282e-05 |
| 8,628 |
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks |
2018 |
SIGMOD |
4.4817474e-05 |
| 8,741 |
Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee |
2024 |
SIGMOD |
4.456315e-05 |
| 8,807 |
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising |
2021 |
SIGMOD |
4.4455759e-05 |
| 8,903 |
Efficient Influence Minimization via Node Blocking |
2024 |
VLDB |
4.427232e-05 |
| 9,097 |
Managing Conflicting Interests of Stakeholders in Influencer Marketing |
2023 |
SIGMOD |
4.3967784e-05 |
| 9,098 |
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization |
2023 |
SIGMOD |
4.3967784e-05 |
| 9,099 |
Minimum Vertex Augmentation |
2021 |
VLDB |
4.3967784e-05 |
| 10,120 |
Time-Critical Influence Minimization via Node Blocking |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,206 |
Robust Fair Influence Maximization under Multiple Community Partitions |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,313 |
Augmenting Social Influence of Uncertain Seeds via Probabilistic Link Insertion |
2026 |
VLDB |
4.1945683e-05 |
| 10,537 |
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint |
2025 |
VLDB |
4.1945683e-05 |
| 11,005 |
Influence Maximization via Vertex Countering |
2024 |
VLDB |
4.1945683e-05 |
| 11,072 |
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs |
2024 |
VLDB |
4.1945683e-05 |
| 11,080 |
Fast and Space-Efficient Parallel Algorithms for Influence Maximization |
2024 |
VLDB |
4.1945683e-05 |
| 11,139 |
Host Profit Maximization: Leveraging Performance Incentives and User Flexibility |
2024 |
VLDB |
4.1945683e-05 |
| 11,202 |
Mitigating Filter Bubbles Under a Competitive Diffusion Model |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,208 |
Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,465 |
To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News |
2021 |
SIGMOD |
4.1945683e-05 |