Improving Influence Maximization from Samples: An Empirical Analysis

Computer Science

• Actual Performance 50%
• Analysis of Algorithm 50%
• Complex Networks 100%
• Diffusion Model 50%
• Influence Function 50%
• Information Diffusion 50%
• Input/Output 50%
• Message Dissemination 50%
• Network Topology 100%
• Optimisation Ratio 50%
• Random Network 50%
• Sampling Distribution 50%

Engineering

• Complex Networks 50%
• Diffusion Model 25%
• Generated Sample 25%
• Marginals 25%
• Maximization 100%
• Network Topology 50%
• Nodes 50%
• Output Sample 25%