Fusion Learning: Concepts, Principles and Techniques

An Application on Heterogeneous Social Networks

Author: Jiawei Zhang and Philip S. Yu (December 2017 Estimated)

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

  • Chapter 1. Fusion Learning Introduction
  • Chapter 2. Machine Learning Overview
  • Chapter 3. Social Network Overview
  • Chapter 4. Supervised Network Alignment
  • Chapter 5. Unsupervised Network Alignment
  • Chapter 6. Semi-supervised Network Alignment
  • Chapter 7. Link Prediction
  • Chapter 8. Community Detection
  • Chapter 9. Information Diffusion
  • Chapter 10. Influence Propagation and Viral Marketing
  • Chapter 11. Network Embedding
  • Chapter 12. Frontier and Future Work Directions

Books Chapters

In: Heterogeneous Information Network Analysis and Applications

Jiawei Zhang. Chapter 6: Fusion Learning on Heterogeneous Social Networks.

In: Encyclopedia of Social Network Analysis and Mining, 2nd Edition

Jiawei Zhang and Philip S. Yu. Chapter: Cross-Platform Social Network Analysis.