This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.

• Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networks.

• Highlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challenges.

• Spans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networks.

• Explores methodologies for evaluating the quality and accuracy of community detection models.

• Examines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networks.

The book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in this area of Community Structure Analysis from Social Network Data.