April 2019
Beginner
190 pages
4h 54m
English
Content preview from Network Science with Python and NetworkX Quick Start Guide
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What this book covers
Chapter 1, What is a Network?, gives an overview of the history of network science and social network analysis, as well as introducing common types of networks and walking you through writing your first program with NetworkX.
Chapter 2, Working with Networks in NetworkX, describes simple, directed, and weighted networks, and how to work with them in NetworkX.
Chapter 3, From Data to Networks, describes functions for loading network data and for creating networks from scratch.
Chapter 4, Affiliation Networks, focuses on networks with two types of nodes (such as groups and group members) and shows how to work with these networks in NetworkX, as well as how to convert them to co-affiliation networks with just a single type ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.