This week we work out the best tennis player in the world using weighted PageRank, we learn how to do backups on Kubernetes, and how to model financial risks. We also have a great story about using Neo4j to store the storylines of an interactive Theatre Production, and there’s the launch of the Graph Gallery Graph App.
5. Alex Tavgen and his team produced a theatre production
where the story evolves based on audience participation.
After each scene the audience votes and the next scene is
based on the outcome of the vote.
Behind the scenes they use Neo4j
to store a graph of all the scenarios
built by the scriptwriters.
How to Painlessly Unite Art with Java, JavaScript, and
Graphs
Read the blog post
6. This week we released version 3.4.8.0 of the Neo4j Graph
Algorithms library, which now has support for weighted
PageRank. I then wrote a blog post where I attempted to
reproduce Filippo Radicchi’s paper in which he works out
who was the best tennis player ever.
Spoiler alert…
It’s Roger Federer!
Finding the best tennis players of all time using
Weighted PageRank
Read the blog post
7. We're increasingly seeing interest in running Neo4j on
Kubernetes, and if you do you'll want to take backups of
your database. With that in mind, David Allen has written a
blog post showing how to do this using a specialized
Docker container that has Neo4j installed
and stores the resulting archive in a
Google storage bucket.
Read the blog post
How to backup Neo4j Running in Kubernetes
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.
Meet the Graph Gallery - Graph Examples on your
Desktop
Read the blog post
9. Jennifer Reif shared the slides from her talk at the DevUp
conference titled Extensibility for Java Developers in Neo4j.
Jennifer covers a diverse range of topics, including Spring
Data Neo4j, APOC procedures, a Kafka to
Neo4j integration, and more.
Extensibility for Java Developers in Neo4j
Download the slide deck
10. Joe Depeau presented a webinar this week in which he
showed how to model financial risk in a graph database,
with a particular focus on FRTB compliance. Joe shows how
to model investment risk at the
trading desk level as a graph, and
finishes with a demo of such a
model using Neo4j Bloom.
How to Model Financial Risk with a Graph Database
Watch the video
11. If you liked this check
out the blog post
This Week in Neo4j - 13th October 2018