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Catch this week's GraphCast: FinCEN Files – How Banks Move Dirty Money around the World

#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox. With summer coming to an end, who knew we would be... read more


Learn how Elsevier employs Neo4j for COVID-19 research.

Elsevier Boosts Global COVID-19 Research with Neo4j

Elsevier is a Dutch publishing and analytics company specializing in scientific, technical and medical content. The company had started work on a Core Citation Graph (C-Graph) project, based on Neo4j graph technology, to query its huge network of scientific content. Its dataset includes... read more


Learn about chaos engineering with Neo4j.

Chaos Engineering with Neo4j

Editor’s Note: This presentation was given by Janos Szendi-Varga at NODES 2019 in October 2019. Presentation Summary In the last couple of years, chaos engineering has become very popular, with companies like Google and Netflix widely promoting it. Chaos engineering allows for fewer... read more


ICIJ used Neo4j to analyze the FinCEN Files data, uncovering a vast network of money laundering.

Analyzing the FinCEN Files with Neo4j

The FinCEN Files Investigation The International Consortium of Investigative Journalists (ICIJ) has recently exposed a vast network of industrial-scale money laundering running through Western banks and generally ignored by U.S. regulators – and they used Neo4j to help crack the case wide... read more


This Week in Neo4j – Empowering Cities with Data and Knowledge Graphs, Restaurant Recommendation Engine, Graph Databases For Dummies

Hi graph gang, Last week we hosted the Graphs in Government version of Connections, a series of online events that replaced GraphConnect 2020. There were lots of interesting presentations, but my favourite one was by Jussi Vira and Tuomas Piippo, who explained how to build a smart city... read more


Predicting Fraud: 5-Minute Interview with Marius Hartmann

"There's a risk that your fraud detection becomes anecdotal because you become accustomed to certain addresses or names. You risk emphasizing the small-time fraudsters instead of the clever ones. The clever ones are the ones that don't usually get caught," said Marius Hartmann, Chief Advisor,... read more