Part 3: Network Science and Social Network Analysis

In these chapters, we learn how to analyze networks and hunt for insights. We begin with a discussion on whole network analysis and gradually zoom in to the node level, to investigate egocentric networks. We then look for communities and subgroups that exist in networks. Finally, we conclude the book by showing how graph data can be useful for supervised and unsupervised machine learning.

This section includes the following chapters:

• Chapter 7, Whole Network Analysis
• Chapter 8, Egocentric Network Analysis
• Chapter 9, Community Detection
• Chapter 10, Supervised Machine Learning on Network Data
• Chapter 11, Unsupervised Machine Learning on Network Data