active opinion maximization in social networkscinv.ro/files/kdd18_blitz.pdf · 2019-01-21 ·...
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Active Opinion Maximization in Social NetworksXinyue Liu, Xiangnan Kong and Philip S. Yu
Worcester Polytechnic Institute, University of Illinois at Chicago
Product
Like
Like
Like
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Like
observed opinions on target product and other products
Influence Diffusion
Expressed Opinion
The Target Social Network
budget=k1 budget=k2
Objective:Finding the optimal seed selection that maximizes the total opinion spread.
Diffusion Continues
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Seed Selection
Next Round Seed
Selection
Update
Updateupdated
In round 1
Contributions
• Problem Formulation (Active Learning in Social Influence)
• Methodology (Greedy Algorithm with Matrix Factorization)
• Link collaborative filtering with social influence diffusion
• Empirical study on real-world network data
Poster Session: Tuesday 7:00pm-9:30pm @ICC Capital Hall (Level 0)
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