This week we have the announcement of Neo4j 3.4 and the Bloom visualization tool, analyzing Wifi traffic, gaining insights into text using graph visualization, Neo4j with Azure Functions, and more.

1. This Week in Neo4j
5th May 2018

2. The week's graph database news
in one handy slide deck!

3. Find the archive at
neo4j.com/tag/twin4j

4. Featured community member: Dmitry Paranyushkin
Learn more about Dmitry

5. At GraphTour San Francisco, Emil announced the arrival of
Neo4j Bloom. Bloom is a graph communication and data
visualization product that aims to make it easier for non
Developers to explore and make sense
of graphs in the same way that
Cypher did for non Java Developers.
Announcement #1:
Bloom Visualization Tool
Learn all about Bloom

6. Emil also announced Neo4j 3.4, which will be released in
the next few weeks with native support for Spatial and
DateTime data types. We’re looking forward to see the
new applications you build with the new
functionality.
Announcement #2:
Neo4j 3.4 with Spatial and DateTime data types
Watch the announcement

7. Analyzing Wifi Traffic using Neo4j
bitsrot shows how to use Neo4j to graphically plot and
analyze the relationships between Wi-fi nodes using the air
around us. Python and scapy are used
for packet capture and Cypher is used
to explore the dataset.
Analyze Wifi Traffic

8. In Chris Skardon‘s latest post he shows how to write an
Azure function that executes a Cypher query against Neo4j.
Executing Cypher in Azure Functions
Read the blog post

9. Analyzing Twitter with R and Neo4j
Analyze Twitter with RNeo4j
Colin Fay shows how to import Twitter data into Neo4j and
analyse it using the RNeo4j driver that he recently started
working on.

10. If you liked this check out the blog post
This Week in Neo4j - 5th May 2018