Combat crime effectively with Open Source Intelligence (OSINT) and advanced social media analytics. This book details cutting-edge data mining, machine learning, and predictive analytics, combined with natural language processing and social network analysis, to detect and neutralize cyber and physical threats. Explore state-of-the-art OSINT research trends and multidisciplinary insights. Ideal for students, researchers, and professionals in OSINT, cyber crime, and social network analytics. The chapter "Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study" is available open access. **Key Features:** * Utilizes OSINT for crime combating by linking local and global patterns. * Integrates advanced data mining, machine learning, and predictive analytics. * Applies natural language processing and social network analysis for threat detection. * Features current research trends in social media analytics and OSINT. **Product Summary:** Open Source Intelligence and Cyber Crime: Social Media Analytics, Hardcover, First Edition, English, 251 pages, published by Springer Cham.