Book Image

Network Science with Python and NetworkX Quick Start Guide

By : Edward L. Platt
Book Image

Network Science with Python and NetworkX Quick Start Guide

By: Edward L. Platt

Overview of this book

NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use. If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.
Table of Contents (15 chapters)

Modeling your data

When representing data as a network, there are many decisions to make along the way. Different types of networks are helpful for understanding different types of data and for asking different types of questions. This section will take a closer look at some of the important considerations.

When creating a network from data, one of the most important questions to consider is what exactly the nodes and edges should represent. Often there are many possibilities, even for the same dataset. Any particular choice focuses on some aspects of the data, possibly discarding others. Networks are fundamentally about relationships and connections, so one way to define nodes and edges is to think about what types of relationships you're interested in. Some possibilities include the following:

  • Social relationships, such as friendships, romantic relationships, or even rivalries...