Discover what's new in the Neo4j community for the week of 7 October 2017, including projects around Data Science, Facebook, and Natural Language Processing.

1. This Week in Neo4j
7th October 2017

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

3. Featured community member: Michal Bachman
https://twitter.com/bachmanm

4. GraphAware released neo4j-nlp, a set of tools that help
combine the worlds of graph databases and natural
language processing. The
library features text
extraction, LDA, complex
search, and more
neo4j-nlp: Graph Based Natural Language Processing
https://graphaware.com/neo4j/2017/10/03/efficient-unsupervised-topic-extraction-nlp-neo4j.html

5. Managing component complexity with graph databases
https://www.youtube.com/watch?v=3DmpW3SosSM

6. Will Lyon released the first version of neo4j-graphql-js, a
GraphQL to Cypher query execution layer for Neo4j and
JavaScript GraphQL
implementations.
neo4j-graphql-js: GraphQL to Cypher
https://github.com/neo4j-graphql/neo4j-graphql-js

7. Driving event attendance with Neo4j/Facebook API
https://www.youtube.com/watch?v=m9HYUWWF2Sw

8. John Mercouris created Networkt, a project that aims to do
temporal network analysis on digital networks. John
combines Neo4j and Python's scikit-learn library to do this
analysis.
Networkt: Temporal digital network analysis
https://github.com/jmercouris/networkt

9. If you liked this check out the blog post
https://neo4j.com/blog/this-week-neo4j-7-october-2017