Broad Learning Through Fusions

An Application on Social Networks (1st Edition, 2019, Springer)

Jiawei Zhang and Philip S. Yu

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Highlights

• background knowledge about machine learning and social networks
• frontier development of network aligned problems and methods
• start-of-art application problems studied across aligned networks
• promising future development directions and suggestions
• supplementary slides, toolkit, exercises and solution manual

Table of Contents

Part I: Background Introduction
• Chapter 1. Broad Learning Introduction
• Chapter 2. Machine Learning Overview
• Chapter 3. Social Network Overview
Part II: Information Fusion: Social Network Alignment
• Chapter 4. Supervised Network Alignment
• Chapter 5. Unsupervised Network Alignment
• Chapter 6. Semi-supervised Network Alignment
Part III: Fusion Learning: Knowledge Discovery across Aligned Networks
• Chapter 7. Link Prediction
• Chapter 8. Community Detection
• Chapter 9. Information Diffusion
• Chapter 10. Viral Marketing
• Chapter 11. Network Embedding
Part IV: Future Directions
• Chapter 12. Frontier and Future Work Directions