Integrating two important aspects of computer science (graph-based modeling and data mining techniques), this book provides a practical, do-it-yourself approach for extracting interesting patterns from graph data. The self-contained text requires no prerequisite knowledge of data mining and includes many worked examples, exercises with solutions, and real-world applications and data sets. Each algorithm is presented with accompanying R code. A supporting website features additional resources, including PowerPoint slides, R code, and data sets.