Dr. Jim Webber described how to run Neo4j in a multi data center environment, while Max De Marzi showed how to find the shortest path on a rail network and Stefan Bieliauskas explained why graphs are a perfect fit for modeling data provenance. The community spotlighted David Stevens, Global Technology Transformation Lead at DXC, who is the author of an Enterprise knowledge graph built using Neo4j. Tom Geudens started a series on versioning graphs, focusing on time-based versioning in his first installment, and Tomaz Bratanic used the Pearson Similarity algorithm to analyze Kaggle's Young People Survey dataset. Additionally, Jennifer Reif continued her Marvel Series, building the controller and service classes for handling requests and shaping results. The week also featured a blog post by Stefan Bieliauskas on provenance with Neo4j and a tweet of the week from Thibault Chevrin highlighting OpenFoodFacts' data.