The week's videos cover various topics related to Neo4j and graph data science. Vlasta Kůs and Golven Leroy demonstrate social media monitoring using Neo4j and NLP techniques, while also showcasing the Graph Data Science Library preview release. Additionally, they discuss features extracted from social platforms using GraphAware’s NLP tools. The Graph Data Science Library is a 4.0 Treasure Map that provides resources for users to learn about new features in Neo4j 4.0. Users can find information on multi-database support, security features, reactive drivers, and Neo4j Fabric through Jennifer Reif's curated blog post. Arrows Hacks shares usage tips and tricks for the graph modeling tool, while David Allen provides a short video guide for upgrading from Neo4j 3.5 to 4.0. Max De Marzi discusses ideas for improving Neo4j performance, and Alicia Frame announces the preview release of the Graph Data Science Library. Vlad Batushkov continues his series on building a Neo4j-backed flight search application, creating an APOC custom procedure to query flights. Users can also learn how to enrich existing graphs with data from the Wikidata SPARQL API through a blog post by the author. The week's featured community member is Elena Williams, who shares her passion for graph databases and community building.