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Neo4j Cookbook

You're reading from   Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783287253
Length 226 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Ankur Goel Ankur Goel
Author Profile Icon Ankur Goel
Ankur Goel
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j FREE CHAPTER 2. Connecting to Neo4j 3. The Cypher Query Language 4. Data Modeling and Leveraging with Neo4j 5. Mining the Social Treasure 6. Developing Location-based Services with Neo4j 7. Visualization of Graphs 8. Industry Usages of Neo4j 9. Neo4j Administration and Maintenance 10. Scaling Neo4j Index

Finding friends of friends with Neo4j


If you have used Facebook or LinkedIn, you must have seen something such as "People you may know". This feature can be implemented using various different algorithms; most common are mutual friends, common interests, common location, and so on.

In this recipe, you will learn how to implement these algorithms and implement this feature with Neo4j.

Getting ready

The steps required for this recipe are similar to the steps described in the first recipe of this chapter. We are adding one more field, Interest, to find friends based on mutual interests. Apart from the Cypher query used in the first recipe of this chapter, we add the following nodes and relationships in a similar Cypher query, as shown here:

CREATE
(music:Interest {name : 'music'}),
(sports:Interest {name : 'sports'}),
(dance:Interest {name : 'dance'}),
//INTEREST
    (bradley)-[:INTEREST]->(music),
    (bradley)-[:INTEREST]->(dance),
    (john)-[:INTEREST]->(dance),
    (matthew)-[:INTEREST...
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