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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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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

Road networks

Road networks are a perfect example of graphs. In such networks, the nodes are the road intersections, and edges are the roads themselves, as you can see in the following image:

This image shows the road network around Central Park in New York City, wherein streets are edges between junctions representing nodes

With road networks, many questions can be answered with graph analysis, such as the following:

  • What is the shortest path between two points (nodes)?
  • How long is this shortest path?
  • Are there alternative routes?
  • How can you visit all nodes within a list in a minimal amount of time?

This last question is especially important for parcel delivery, in order to minimize the number of driven miles to maximize the number of delivered parcels and satisfied customers.

We will go into more detail about this topic in Chapter 4The Graph Data Science Library and Path Finding

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Hands-On Graph Analytics with Neo4j
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781839212611
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