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)

Networks in space

Nodes are associated with specific geographic locations in many important networks, for example the following:

  • Electrical grids
  • Road networks
  • Airports linked by direct flights
  • Telecommunication lines

The edges in these networks are physical objects and have physical properties that can influence the behavior of the system represented by the network. One weight measure isn't always enough. For example, when an edge represents a fiber optic telecommunications cable, it is important to consider both the physical length of the cable and the bandwidth (capacity) of the cable. The former influences how long signals take to travel along the cable, while the latter influences how much data it can handle (and both of these influences cost!). Not to mention that a telecommunication cable is only useful if it connects two physical locations with people who want to...