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Learning Neo4j 3.x

You're reading from   Learning Neo4j 3.x Effective data modeling, performance tuning and data visualization techniques in Neo4j

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786466143
Length 316 pages
Edition 2nd Edition
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Authors (2):
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Jerome Baton Jerome Baton
Author Profile Icon Jerome Baton
Jerome Baton
Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Graph Theory and Databases 2. Getting Started with Neo4j FREE CHAPTER 3. Modeling Data for Neo4j 4. Getting Started with Cypher 5. Awesome Procedures on Cypher - APOC 6. Extending Cypher 7. Query Performance Tuning 8. Importing Data into Neo4j 9. Going Spatial 10. Security 11. Visualizations for Neo4j 12. Data Refactoring with Neo4j 13. Clustering 14. Use Case Example - Recommendations 15. Use Case Example - Impact Analysis and Simulation 16. Tips and Tricks

Social networking systems

Obviously, there are a lot of recommender systems that will be very specific to a domain. In the past couple of years, with the massive rise of social networking tools and social apps all around us, the interest in social recommender systems has grown massively. Essentially, we are looking to make useful new connections between people that are effectively part of the same social circle, but may not have realized it yet.

Looking at the following sample network should clarify this immediately:

A social networking graph

In the preceding simple network, there is a very high likelihood that we can close some friendship loops very easily, by suggesting connections between new links between people. Very often, we will be using the graph theory principle of triadic closures, meaning that we will be closing the missing links of the triangles in the structure...

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