The author of this text is a fan of "RuPaul's Drag Race" who, inspired by their friends' enthusiasm for the show, decided to create a graph database using Neo4j to analyze and visualize the data. The graph represents contestants and episodes, with relationships between them describing the outcome of each episode. The author explores the structure of the graph, extracting insights from it, such as identifying patterns in the results of season winners and predicting the winner of "Drag Race" UK Series 1 based on these patterns. The text also touches on potential applications of knowledge graphs beyond entertainment, including industries like retail and telecom.