A two-stage stochastic programming approach for influence maximization in social networks

Keyphrases

• Computational Experiment 33%
• Constraint Generation Algorithm 33%
• Delayed Constraint Generation 33%
• Finite number 33%
• Greedy Algorithm 33%
• Greedy Approximation Algorithm 33%
• Independent Cascade 33%
• Influence Function 33%
• Influence Maximization 100%
• Influence Maximization Problem 100%
• International Conference 33%
• Knowledge Data 33%
• Knowledge Discovery 33%
• Linear Threshold Model 33%
• Optimality Cut 66%
• Optimization Model 33%
• Performance Guarantee 33%
• Problem Class 33%
• Programming Approaches 100%
• Sampling numbers 33%
• Social Networks 100%
• Stochastic Influences 33%
• Submodular Optimization 33%
• Submodularity 33%
• Two-stage Stochastic 33%
• Two-stage Stochastic Programming 100%

Computer Science

• Approximation Algorithms 50%
• Computational Experiment 50%
• Data Mining 50%
• Greedy Algorithm 50%
• Influence Function 50%
• Knowledge Discovery 50%
• Performance Guarantee 50%
• Social Network 100%
• Stochastic Programming 100%