Book Image

Learning Neo4j 3.x - Second Edition

By : Jerome Baton
Book Image

Learning Neo4j 3.x - Second Edition

By: Jerome Baton

Overview of this book

Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.
Table of Contents (24 chapters)
Title Page
Credits
About the Authors
Acknowledgement
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Cytoscape example


In this paragraph, we will see an example of the usage of another graph library named Cytoscape.

Note

Cytoscape is open source, under MIT license, and can be found on GitHub at https://github.com/cytoscape/cytoscape.js, and its documentation can be found at http://js.cytoscape.org/.

The goal is to display data from our current database, showing usage of the JavaScript driver to get the list of operating systems of the Unix family.

Here is the result of the code to follow:

Our data with Cytoscape and its breadth-first layout

Even though my javascript-fu is weak (maybe even undefined), I managed to code this in a single page.

First, the style of cytograph sets the size of the display to show the graph. Then the libraries are loaded from their respective CDNs, then, a div element for the graph is created, the UNIX node is created at this stage, although it will be repeated in the result of the Cypher query. As it is not possible to create nodes with the same identifier, there is...