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

1. This Week in Neo4j

2. Developer Relations Engineer at Neo4j
2

3. The week's graph database news
in one handy slide deck!
Find the archive at
neo4j.com/tag/twin4j

4. Learn more about Will

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 schema.org.
Read the blog post

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. “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. 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. 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. 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