Summary

We did it! We made it to the end of another chapter. I truly hope you found this chapter especially interesting because there are so few sources that explain how to do this from scratch. One of the reasons I decided to write this book is because I was hoping that ideas like this would take off. So, I hope this chapter grabbed your attention and sparked your creativity.

In this chapter, we transformed an actual network into training data that we could use for machine learning. This was a simplified example, but the steps will work for any network. In the end, we created a model that was able to identify members of Friends of the ABC revolutionary group, though it was a very simple model and not suitable for anything real-world.

The next chapter is going to be very similar to this one, but we will be using unsupervised ML to identify nodes that are similar to other nodes. Very likely, unsupervised ML will also identify members of Friends of the ABC, but it will likely also...