| 437 |
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks |
2016 |
SIGMOD |
0.00023237348 |
| 1,652 |
Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study |
2017 |
SIGMOD |
0.00010999442 |
| 1,798 |
Online Processing Algorithms for Influence Maximization |
2018 |
SIGMOD |
0.00010500792 |
| 2,226 |
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models |
2016 |
SIGMOD |
9.2532857e-05 |
| 2,375 |
From Competition to Complementarity: Comparative Influence Diffusion and Maximization |
2016 |
VLDB |
8.9401216e-05 |
| 2,485 |
Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks |
2020 |
VLDB |
8.6657901e-05 |
| 2,668 |
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened |
2020 |
SIGMOD |
8.3432296e-05 |
| 3,622 |
Efficient and Effective Algorithms for Clustering Uncertain Graphs |
2019 |
VLDB |
6.9021704e-05 |
| 4,219 |
Revisiting the Stop-and-Stare Algorithms for Influence Maximization |
2017 |
VLDB |
6.3432726e-05 |
| 4,284 |
CHASSIS: Conformity Meets Online Information Diffusion |
2020 |
SIGMOD |
6.2824978e-05 |
| 4,369 |
Real-Time Influence Maximization on Dynamic Social Streams |
2017 |
VLDB |
6.2399378e-05 |
| 5,083 |
Revenue Maximization in Incentivized Social Advertising |
2017 |
VLDB |
5.705337e-05 |
| 5,092 |
Efficient Algorithms for Adaptive Influence Maximization |
2018 |
VLDB |
5.6987819e-05 |
| 5,170 |
Pricing Influential Nodes in Online Social Networks |
2020 |
VLDB |
5.6416844e-05 |
| 5,355 |
Discovering Your Selling Points: Personalized Social Influential Tags Exploration |
2017 |
SIGMOD |
5.5518336e-05 |
| 5,940 |
Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model |
2019 |
SIGMOD |
5.2600149e-05 |
| 6,091 |
Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? |
2016 |
SIGMOD |
5.2141312e-05 |
| 6,159 |
The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches |
2020 |
SIGMOD |
5.1751218e-05 |
| 6,181 |
Efficient Approximation Algorithms for Adaptive Seed Minimization |
2019 |
SIGMOD |
5.1641945e-05 |
| 6,522 |
Clustering Uncertain Graphs |
2018 |
VLDB |
5.0230003e-05 |
| 6,669 |
Influence Maximization in Real-World Closed Social Networks |
2023 |
VLDB |
4.9629357e-05 |
| 7,266 |
Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties |
2022 |
VLDB |
4.7774097e-05 |
| 7,320 |
Dynamic Influence Analysis in Evolving Networks |
2016 |
VLDB |
4.7579928e-05 |
| 7,393 |
Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model |
2021 |
VLDB |
4.7373814e-05 |
| 7,450 |
Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks |
2023 |
SIGMOD |
4.7218383e-05 |
| 7,800 |
Triangular Stability Maximization by Influence Spread over Social Networks |
2023 |
VLDB |
4.6437574e-05 |
| 7,903 |
Coarsening Massive Influence Networks for Scalable Diffusion Analysis |
2017 |
SIGMOD |
4.6170606e-05 |
| 7,938 |
Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation |
2023 |
SIGMOD |
4.6089395e-05 |
| 8,007 |
Analysis of Influence Contribution in Social Advertising |
2022 |
VLDB |
4.604154e-05 |
| 8,589 |
Maximizing Social Welfare in a Competitive Diffusion Model |
2021 |
VLDB |
4.4853244e-05 |
| 8,626 |
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks |
2018 |
SIGMOD |
4.4774498e-05 |
| 8,737 |
Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee |
2024 |
SIGMOD |
4.4520434e-05 |
| 8,808 |
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising |
2021 |
SIGMOD |
4.4413146e-05 |
| 8,904 |
Efficient Influence Minimization via Node Blocking |
2024 |
VLDB |
4.4229886e-05 |
| 9,094 |
Managing Conflicting Interests of Stakeholders in Influencer Marketing |
2023 |
SIGMOD |
4.3925641e-05 |
| 9,095 |
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization |
2023 |
SIGMOD |
4.3925641e-05 |
| 9,096 |
Minimum Vertex Augmentation |
2021 |
VLDB |
4.3925641e-05 |
| 10,120 |
Time-Critical Influence Minimization via Node Blocking |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,206 |
Robust Fair Influence Maximization under Multiple Community Partitions |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,325 |
Augmenting Social Influence of Uncertain Seeds via Probabilistic Link Insertion |
2026 |
VLDB |
4.1905499e-05 |
| 10,546 |
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint |
2025 |
VLDB |
4.1905499e-05 |
| 11,008 |
Influence Maximization via Vertex Countering |
2024 |
VLDB |
4.1905499e-05 |
| 11,075 |
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs |
2024 |
VLDB |
4.1905499e-05 |
| 11,083 |
Fast and Space-Efficient Parallel Algorithms for Influence Maximization |
2024 |
VLDB |
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 |
| 11,210 |
Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,468 |
To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News |
2021 |
SIGMOD |
4.1905499e-05 |