This Week in Neo4j – Analyzing the FinCEN Files, Subway Journey Planner, Spotify Playlist Builder

The Neo4j community has been busy with various news and releases. The FinCEN Files dataset, containing a vast network of industrial-scale money laundering, was published by the ICIJ and analyzed using Neo4j by Michael Hunger. In other news, Rik Van Bruggen explained exponential growth in a blog post, while Niels de Jong built a Spotify playlist generator using Graph Data Science Library. Ng Wai Foong navigated Singapore's transport network to build a subway journey planner. Additionally, there have been releases of NEuler, Graphlytic, and Neo4jClient .NET library. The community has also highlighted Max De Marzi as this week's featured community member, who is currently looking for new opportunities in graph databases.