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Learning Neo4j

You're reading from   Learning Neo4j Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781849517164
Length 222 pages
Edition 1st Edition
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Author (1):
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Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Table of Contents (13) Chapters Close

Preface 1. Graphs and Graph Theory – an Introduction FREE CHAPTER 2. Graph Databases – Overview 3. Getting Started with Neo4j 4. Modeling Data for Neo4j 5. Importing Data into Neo4j 6. Use Case Example – Recommendations 7. Use Case Example – Impact Analysis and Simulation 8. Visualizations for Neo4j 9. Other Tools Related to Neo4j A. Where to Find More Information Related to Neo4j B. Getting Started with Cypher Index

Open source visualization libraries


Many developers that use Neo4j as their Graph Database Management System end up having some very specific needs to visualize the network and present that to their end users in an integrated way as part of their application. These Neo4j users, who are typically not afraid of getting their hands dirty with some code, will typically like to build that visualization using a library of tools that fit their purpose. There are several tools out there that could be used, so let's give you a little overview of the most popular ones.

D3.js

D3, pronounced "dee three", is another way to refer to a library that is supposed to enable and provide data-driven documents. It is a JavaScript library for manipulating documents based on data. You can find the latest version on www.d3js.org. D3 helps you visualize data using HTML, SVG, and CSS. D3's emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework,...

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