Knowledge Discovery in Social and Information Networks

Jiawei Han

Course Outline:

This chapter will introduce general principles and recent developments on knowledge discovery in social and information networks. It covers the following topics:

1) Graph pattern mining, graph cluster analysis and graph classification methods

2) Social networks and statistical methods for social network analysis

3)Introduction to information networks and information network analysis

4)Recent developments on mining heterogeneous information networks: data cleaning, data validation, online analytical processing, user-guided clustering, rank-based clustering, and network-based classification methods.