Join Us for the GraphHack at GraphConnect Europe [2017]
By Bryce Merkl Sasaki
May 8, 2017|Reading time: 1 minute
It’s that time of year again for the biggest (and best) graph database hackathon in this or any other parallel universe: The GraphHack. This year’s event takes place at CodeNode London on GraphConnect Eve (10th May 2017). The hackathon will… Read more →
Explore: Brexit • data journalism • electoral commission • fake news • graphconnect • graphHack • hackathon • open data • OpenCorporates • Panama Papers
Data Journalism in the Connected Age [GraphConnect Europe Preview]
By Bryce Merkl Sasaki
April 25, 2017|Reading time: 2 minutes
Long before the publication of the Panama Papers investigation in April last year – which was mostly recently awarded the Pulitzer Prize, among other accolades – data journalism had had to deal with vast amounts of highly connected information. Traditionally… Read more →
Explore: Brexit • data journalism • graphconnect • hackathon • icij • investigative journalism • NYU • Panama Papers • Pulitzer Prize • Twitter analytics
The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance
By Rachel Howard
February 10, 2017|Reading time: 3 minutes
“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Read more →
Explore: 5-minute interview • APOC • betweenness centrality • Brexit • graph algorithms • machine learning • PageRank • RNeo4j • sql • US presidential election
From the Neo4j Community: June 2016
By Bryce Merkl Sasaki
July 14, 2016|Reading time: 3 minutes
What do Brexit, Game of Thrones and the Panama Papers all have in common? They’ve all been featured in articles from the Neo4j community in the month of June! While you’re browsing the great posts, videos and projects below, think… Read more →
Explore: Brexit • django • docker • etl • Neo4j Community • node.js • Panama Papers • PHP • polyglot persistence • RDF
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