Summary

In this chapter, you learned a new kind of network analysis, called egocentric network analysis. I tend to call egocentric networks ego networks, to be concise. We’ve learned that we don’t have to analyze a network as a whole. We can analyze it in parts, allowing us to investigate a node's placement in the context of its relationship with another node.

Personally, egocentric network analysis is my favorite form of network analysis because I enjoy investigating the level of the individual things that exist in a network. Whole network analysis is useful as a broad map, but with egocentric network analysis, you can gain a really intimate understanding of the various relationships between things that exist in a network. I hope you enjoyed reading and learning from this chapter as much as I enjoyed writing it. I hope this inspires you to learn more.

In the next chapter, we will dive into community detection algorithms!