This week we have DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global Power Emissions Database, Graphs and AI, Agent Smith: A “top” application for Neo4j, 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 Devansh

5. Rik has written a blog post showing how to import and
analyse a dataset containing Power Plants and their
emissions into Neo4j. After showing how to importing the
data using the Neo4j browser’s multi-statement editor, Rik
writes queries to find the biggest
polluters, as well as most and least
efficient plants.
Read the blog post

6. A couple of Fridays ago Nigel Small released Agent Smith
2.0, a “top” application for Neo4j. The application now
watches transactions, rather than queries, which gives a
more stable display of “things that are running”. Up to 8
servers can now be displayed and Nigel’s
also implemented a kill function, using
dbms.killQuery.
Read the announcement

7. In the latest post of his relational to graph series, Michael
Simons explores different ways to import data into Neo4j.
Michael shows how to use the Neo4j ETL tool, and creates
a custom import DSL, but settles on using APOC's LOAD
JDBC procedure because of the
flexibility it provides.
Read the blog post

8. Tomaz Bratanic has written a blog post showing how to use
the DeepGL graph embedding algorithm to extract features
from a Peer to Peer network. Tomaz then projects a cosine
similarity graph based on those features and runs the
Louvain algorithm to find
communities of similar hosts.
Read the blog post

9. Morgan Vawter, Chief Analytics Director at Caterpillar, has
written an article on CIO Applications about AI and Graphs.
Morgan observes that graphs can be used to build
ontologies (shared structural conceptualizations of real
world phenomena) and perform deduction
(if the engine was removed, so was the
piston because it is a subpart).
Read the article