Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days.


This week’s featured community member is Nicolas Mervaillie, Senior Consultant at GraphAware.

Nicolas Mervaillie - This Week's Featured Community Member

Nicolas Mervaillie – This Week’s Featured Community Member

Nicolas has been part of the Neo4j community for the past 4-5 years and started his graph journey analysing till receipts in Neo4j. He later presented this project at the Neo4j meetup in Lille.

Nicolas goes into more detail about the project in his interview on Rik Van Bruggen‘s Graphistania podcast that was released this week.

Nicolas joined GraphAware in February 2017 and is a core developer on the Spring Data Neo4j and Neo4j OGM products. He also consults for clients on Neo4j projects.

Nicolas is also co-authoring Neo4j : II. Déploiement, a French language book that shows how to build a Neo4j backed applications from scratch all the way to production and beyond.

On behalf of the Neo4j community, thanks for all your work Nicolas!

Online Meetup: Spring Data Neo4j 5/ OGM3


In this week’s online meetup Nicolas, Frantisek Hartman, and Gerrit Meier presented the recently released Spring Data Neo4j 5.0 and showed off some of its new cool features.



You can read more about the project in the release blog post.

Russian Twitter Trolls


Will Lyon has been busy this week applying Natural Language Processing techniques to analyse the tweets of Russian Trolls.

In the first part of Scraping Russian Twitter Trolls With Python, Neo4j, and GraphQL Will shows how to retrieve the tweets of 2752 Twitter accounts tied to Russia’s Internet Research Agency that were involved in spreading fake news.

Russian Twitter Trolls

Russian Twitter Trolls

He then imports the data into Neo4j, writes queries to find out what they were tweeting about, before putting a GraphQL API on top of the dataset.

In Applying NLP and Entity Extraction To The Russian Twitter Troll Tweets In Neo4j Will uses the Polyglot library to apply Named Entity Extraction algorithm to the tweets and discovers that the trolls are mostly tweeting about Trump and Clinton.

More NLP, Relato Business Graph, GRANDstack


Tweet of the Week


My favourite tweet this week was by Jp Pellet || Poppy:

Don’t forget to RT if you liked it too.

That’s all for this week. Have a great weekend!

Cheers, Mark

 

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About the Author

Mark Needham, Developer Relations Engineer

Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database.

As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.


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