This week in Neo4j saw the community come together to discuss various topics such as Russian Twitter Trolls, Machine Learning with Graph Databases, and Reddcoin Graph. The Neo4j GraphTour visited Berlin and London, featuring Michael, Ryan, Jennifer, and Mark at the London event. Featured Community Member Tom Zeppenfeldt was recognized for his work on building a development environment for interactive graph-based dashboards. On Reddit, Will Lyon and David Allen participated in an AMA about Russian Twitter Trolls, while Jon MacKay explained how to use Neo4j Desktop to store and analyze complex networked information. Additionally, Adam Cowley showed how to use Neo4j-OGM with Spring Boot, and Pol Dellaiera solved a problem of linking numbers such that adjacent sums are perfect square numbers using Neo4j. The week also saw the introduction of machine learning on graph databases, with David Mack connecting Neo4j with the Keras neural network library. Other notable mentions include Johannes Unterstein's community graph out of ReddCoin Twitter Tipbot usage and Tomaz Bratanic's analysis of the Paradise Papers using Neo4j's graph algorithms library. Looking ahead, the next week in Neo4j will feature a mix of Neo4j and customer speakers, as well as Graph-Powered Machine Learning and Chatbots with Neo4j and Amazon Alexa.