Network Analysis
This chapter is about networks and datasets represented by networks. Networks link things together. Since many things in real-world data science are linked to each other, you will encounter networks and network data a lot as a data scientist. Therefore, as a data scientist, you must learn something about networks and how to analyze them. To learn about networks, we will cover the following topics:
- Graphs and network data: In this section, we’ll learn why network data is important for data science and what a graph is
- Basic characteristics of graphs: Here, we’ll learn the essential concepts and terminology relating to graphs, and in particular about adjacency matrices
- Different types of graphs: In this section, we’ll learn about some of the main classes of graphs you will encounter as a data scientist and the behavior and properties of those different classes of graphs
- Community detection and decomposing graphs: Finally, we’...
