Social Network Analysis And Law Enforcement
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Social Network Analysis and Law Enforcement
This book examines the use of social network analysis (SNA) in operational environments from the perspective of those who actually apply it. A rapidly growing body of literature suggests that SNA can reveal significant insights into the overall structure of criminal networks as well as the position of critical actors within such groups. This book draws on the existing SNA and intelligence literature, as well as qualitative interviews with crime intelligence analysts from two Australian state law enforcement agencies to understand its use by law enforcement agencies and the extent to which it can be used in practice. It includes a discussion of the challenges that analysts face when attempting to apply various network analysis techniques to criminal networks. Overall, it advances SNA as an investigative tool, and provides a significant contribution to the field that will be of interest to both researchers and practitioners interested in social network analysis, intelligence analysis and law enforcement.
Social Network Analysis in Predictive Policing
This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
Organised Crime and Law Enforcement
Organised Crime and Law Enforcement: A Network Perspective examines organised crime and law enforcement through the conceptual lens of networks. The book takes stock of the many ways in which network theories and concepts, including social network analysis, can apply to studying both organised crime and law enforcement responses to organised crime. It is the first attempt to bring these diverse network perspectives and distinct fields of research together. The book is organised into two parts. The first part uses network perspectives to advance our understanding of the interconnected social structure of organised criminal groups, to expose their strengths and vulnerabilities, and to illuminate factors that enable such groups to undertake complex criminal activities. The second part uses a network lens to examine the challenges that organised criminal groups present for a wide range of law enforcement agencies, and the utility of network theories and concepts in understanding and informing their responses to organised crime. Written in a clear and direct style, the book will appeal to scholars and practitioners of criminology, sociology, law enforcement, and all those interested in learning more about theories of organised crime and its relationship with law enforcement.