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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

Visualizing paths with advanced layer

The advanced layer mode allows the user to more precisely select the nodes to be displayed. For instance, we may want to visualize only the nodes involved in the shortest path from Times Square to Central Park South. In that case, we will have to write the Cypher query to match the nodes, and return at least two elements: the latitude and longitude of the nodes.

You can see the configuration used to display the nodes belonging to our shortest path in the following screenshot:

This application helps in visualizing data for data analysis and understanding. However, if we want to visualize spatial attributes in a more interactive way in web applications, we will have to investigate other methods. The following section will demonstrate how to use two JavaScript libraries, the Neo4j JavaSscript driver, and leaflet, to visualize the same path.

In the following section, we will go deeper into the Neo4j JavaScript driver to build stand-alone...

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