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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
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Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Importing test data from the GitHub API

As test data, we will use the content of the README for each repository in our graph, and see what kind of information can be extracted from it.

The API to get the README from a repository is the following:

GET /repos/<owner>/<repo>/readme

Similarly to what we have done in the previous chapter, we are going to use apoc.load.jsonParams to load this data into Neo4j. First, we set our GitHub access token, if any (optional):

:params {"token": "8de08ffe137afb214b86af9bcac96d2a59d55d56"}

Then we can run the following query to retrieve the README of all repositories in our graph:

MATCH (u:User)-[:OWNS]->(r:Repository)
CALL apoc.load.jsonParams("https://api.github.com/repos/" + u.login + "/" + r.name + "/readme", {Authorization: "Token " + $token}, null, null, {failOnError: false}) YIELD value
CREATE (d:Document {name: value.name, content:value.content, encoding: value.encoding})
CREATE...
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