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This Week in Neo4j - 20th October 2018

This week we have Hierarchical community detection using Louvain and a Case Law Network Graph. We also learn how to creating a linked data endpoint on Neo4j, do Authorization in the GRANDstack, learn taxonomies from user tagged data, and more!

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This Week in Neo4j - 20th October 2018

  1. 1. This Week in Neo4j
  2. 2. Developer Relations Engineer at Neo4j 2
  3. 3. The week's graph database news in one handy slide deck! Find the archive at
  4. 4. Learn more about Will
  5. 5. Last week Jesús Barrasa released a new version of the neosemantics library. This release includes model mapping and microinferencing capabilities. Jesús also wrote a blog post showing how to use the mapping feature to create a linked data endpoint on top of an IMDB dataset using a schema from Read the blog post
  6. 6. Daniel Hoadley has been using Neo4j to depict the connections between English law cases, and has written a blog post explaining how he did it. Daniel shows how to import the data from CSV files to Neo4j, run centrality and community detection algorithms, and visualize everything using neovis.js. Learn all about case law
  7. 7. “How do I handle authorization with GraphQL?” is a question that I’ve heard after almost every talk that I’ve given about the GRANDstack. In Will Lyon's latest post he shows how to implement authorization in a fullstack GraphQL demo application by building custom schema directives using the graphql-tools library. Read the blog post
  8. 8. Graph Apps are single-page applications that takes advantage of some services provided by Neo4j Desktop around the the management of Neo4j Databases. This week we launched a new Graph App - “Graph Gallery”. It allows you to browse and search Graph Examples provided by the Neo4j Community across a variety of use cases. Read the blog post
  9. 9. Michael Hunger has written a blog post showing how to turn a big JSON file of airports into a useful graph. Michael uses a variety of different procedures from the APOC library to load the data and clean it, and then uses Neo4j Bloom to visualize the whole network and run some routing queries. Read the blog post
  10. 10. I’ve written a blog post showing how to learn a Taxonomy of Yelp Categories using the Overlap Similarity algorithm that we recently added to the Neo4j Graph Algorithms library. I stole the idea for this approach from my colleague Jesús Barrasa and it seems to work well on any user tagged data. Read the blog post