NEDRL-CIM:Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks

Mathematics

• Reinforcement Learning 100%
• Influence 51%
• Maximise 31%
• Heuristics 28%
• Framework 28%
• Profit 19%
• Reward 18%
• Experimental Results 16%
• Model 16%
• Learning 15%
• Propagation 15%
• Strategy 11%

Business & Economics

• Reinforcement Learning 84%
• Social Networks 71%
• Heuristics 26%
• Propagation 18%
• Reward 16%
• Profit 9%

Engineering & Materials Science

• Reinforcement learning 66%
• Profitability 19%
• Industry 9%