Learn why an averages approach fails to describe data in the real world and how graph algorithms can help you predict real-world behavior - or potential trends in the popular series, Game of Thrones! We will start with an overview of which algorithms in Neo4j to apply for various types of optimal paths, influence in a network, and community detection. We will also discuss real-life use cases that span across industries including recommendations, resiliency planning, fraud prevention, and traffic engineering/routing (such as IP and call). These topics will come alive through a live demo using data from the Game of Thrones, where we look at what kinds of information you can retrieve and decisions you can make based on results from different algorithms. From this session, you will gain the knowledge to recognize whether you have a graph analytics problem and how you can get started!