This Week in Neo4j – JavaScript CRUD Apps, Personalised Recommendation Engines, Graph Theory Tutorial

This week’s featured community member is opens in new tabMeredith Broussard, Assistant Professor at New York University, with a focus on data-driven reporting, computational journalism, and data visualization.

Meredith has presented Neo4j workshops at NICAR 2017, showing attendees how to find connections in campaign finance data, and again in 2018, this time with a focus on social network analysis.

She will also be familiar to attendees of GraphConnect Europe 2017 where she participated in the opens in new tabData Journalism in the Connected Age panel.

Meredith is currently applying the finishing touches to her book opens in new tabArtificial Unintelligence: How Computers Misunderstand the World which is due for release in May 2018.

On behalf of the Neo4j and data journalism communities, thanks for all your work Meredith!

This week we have two stories about real time recommendation engines – a use case where graph databases excel.

opens in new tabIrene Iriarte Carretero, opens in new tablast week’s featured community member, was opens in new tabinterviewed by diginomica after her GraphTour London talk last week.

Irene explains how Gousto are using Neo4j to build a personalised recipe recommendation engine that takes “the subjective aspect” of cooking into account.

Suprfanz’s Jennifer Webb presented opens in new tabData science in practice: Examining events in social media at the Strata Data Conference in San Jose.

In the talk Jennifer shows how to build a recommendation engine for event promoters, starting from the opens in new tabcommunity graph and using graph algorithms to find influencers. You can opens in new tabdownload the slides from Jennifer’s talk.

I came across Michel Caradec’s excellent opens in new tabworkshop about implementing graph theory with Neo4j.

Michel set himself the challenge of implementing graph theory concepts using pure Cypher, and in the tutorial he shows how to create random graphs, extract sub graphs, generate adjacency matrices, and more.

If you geek out on graph theory you’re going to love this tutorial.

What’s happening next week in the world of graph databases?

My favourite tweet this week was by opens in new tabKhairul Anwar:

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

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

Cheers, Mark