The book "Link Mining: Models, Algorithms, and Applications" provides a comprehensive introduction to the emerging research field of link mining. In an era where the analysis of connected data is becoming increasingly important, this textbook addresses the theoretical foundations, algorithms, and practical applications of link mining. It emphasizes how traditional data analysis methods, which focus on isolated data, can be enhanced by considering complex, interconnected data structures. The authors, renowned researchers in this field, offer insights into the challenges and opportunities that arise from analyzing heterogeneous data types and their connections. The book is aimed at researchers, educators, and advanced students in computer science and serves as a valuable resource for anyone involved in web and text mining, social network analysis, and related topics.