Social Network Analysis in Predictive Policing

Concepts, Models and Methods
Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-82368-3
Verlag: Springer

Buch, Englisch, 133 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 454 g

Reihe: Lecture Notes in Social Networks

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 ofthe 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.

Zielgruppe

Research

Autoren/Hrsg.

Tayebi, Mohammad A.

Glässer, Uwe

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Innen-, Bildungs- und Bevölkerungspolitik

Inhaltsverzeichnis

Introduction.- Social Network Analysis in Predictive Policing.- Structure of Co-offending Networks.- Organized Crime Group Detection.- Suspect Investigation.- Co-offence Prediction.- Personalized Crime Location Prediction.- Concluding remarks.- References.

Über Autor(innen)

Dr. Uwe Glässer is a Professor of Computing Science and Dean  of the Faculty of Applied Sciences, Simon Fraser University, BC, Canada. His work focuses on applied computer science, spanning three fields: industrial applications of formal methods, software technology for intelligent systems, computational criminology and security informatics. His work focuses on facilitating the human interactions that are critical in interdisciplinary research by providing the technologies and technical support to promote effective interactions.

Dr. Mohammad A. Tayebi is a Postdoc at the School of Computing Science, Simon Fraser University, BC, Canada.  His general research interests are in the areas of data mining and social network analysis with focus on social computing and computational criminology fields.