With these I have found nothing identical in any of the various books of Emblems which I have examined; indeed, I cannot say that I have met with anything similar.

Henry Green, English author

Chapter 14Similarity-Based Networks

This chapter uses Pandas, NumPy, SciPy.

Complex networks rarely have a crisp structure that shows whether two nodes are unquestionably connected. The nodes are not always homogeneous, either. However, sometimes two items are similar, and as a complex network analyst, you need a toolset for quantifying their similarity and converting similarities into network edges.

In this chapter, you will learn (or refresh your knowledge of) several similarity measures: Hamming distance, Manhattan distance, Pearson correlation, ...

Get Complex Network Analysis in Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.