Summary

This chapter taught you some aspects of graph statistics. You now know a few metrics you need to compute when you first start analyzing a new graph, from the number of nodes/edges and the node and edge types to degree-related metrics and distribution.

You also installed the Neo4j Python driver and learned how to extract data from Neo4j to Python and create a DataFrame from data exported from Neo4j.

In the next chapter, we will dig deeper into graph analytics by using unsupervised graph algorithms to learn even more about graph topology. We will learn how to find clusters or communities of nodes in the graph. On the way, we will install and learn about the basic principles of the Neo4j Graph Data Science Library, the plugin we will use intensively in the rest of this book.