There has been a gap in the social network analysis world since @ladamic stopped offering her excellent class via Coursera. I received my copy of Complex Network Analysis in Python earlier today, devoured the first five chapters, and I am pleased to report this book is a quality alternative to the class.
The book presumes you have enough Python to load stuff with pip and some pre-existing motivation to explore networks. Some key things to know:
- The features and performance considerations of four Python network analysis modules are explained in detail; invaluable for those who are trying to scale up their efforts.
- The visualization package Gephi is introduced in a very accessible fashion and advice regarding how to move data between it and your Python scripts is clear and simple.
- There are a variety of real world examples included
The thing that is missing is Twitter – which is mentioned just once in passing on page 63. This seems like a good opening – the Complex Network Analysis Github repository is going to contain the Twitter related code we produce as we work through the examples in this text.