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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 (17) Chapters Close

Neo4j Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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

Social data modeling with Neo4j


Data sources, such as Twitter, Facebook, and LinkedIn, are excellent sources of social data, and this data can be modeled in Neo4j to get useful insights.

In this recipe, you will learn how to model LinkedIn data using Neo4j.

Getting ready

Install the Neo4j graph database on the host machine using the recipe described in Chapter 1, Getting Started with Neo4j. This installation process will depend on your preference for your machine OS type.

For this recipe, we will use data from LinkedIn, which although it is not open, some part of it can be obtained using the LinkedIn API.

How to do it...

Let's model this data to get some insights from LinkedIn:

User – [IS_FRIEND_OF] – User[s]
User – [IS_EMPLOYEE_OF] – Company[s]
User – [HAS_SKILL] – Skill[s]
Company – [NEED_SKILL] – Skill[s]

Let's answer some questions on the basis of our social graph:

  • Friends who belong to my skill set: Let's find out the friends who match my profile skill set, using this query:

    MATCH (me)-[:HAS_SKILL...
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