Whether you are building dynamic network models or forecasting real-world behavior, this book illustrates how graph algorithms deliver value: from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. We walk you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j. We include sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection using methods like clustering and partitioning.

Michael Moore, Ph.D. is an Executive Director in the Advisory Services practice of Ernst & Young LLP. He is the National practice lead for Enterprise Knowledge Graphs AI in EY's Data and Analytics (DnA) Group. Moore helps EY clients deploy large-scale knowledge graphs using cutting-edge technologies, real-time architectures and advanced analytics. Omar Azhar is the Manager of EY Financial Services Organization Advisory – AI Strategy and Advanced Analytics COE at EY. Your email address will not be published.