Social Network Analysis in Predictive Policing

Name: Social Network Analysis in Predictive Policing
Price: 177.72 AUD
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ISBN: 9783319823683

Concepts, Models and Methods

Mohammad A. Tayebi, Uwe Glässer

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English

Springer International Publishing AG
16 June 2018

Crime & criminology; Combinatorics & graph theory; Data mining; Computer security; Expert & knowledge-based systems

Series: 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.

By: Mohammad A. Tayebi, Uwe Glässer
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: Softcover reprint of the original 1st ed. 2016
Dimensions: Height: 235mm, Width: 155mm, Spine: 8mm
Weight: 454g
ISBN: 9783319823683
ISBN 10: 331982368X
Series: Lecture Notes in Social Networks
Pages: 133
Publication Date: 16 June 2018
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Uwe Glässer is a Professor of Computing Science and Dean pro tem 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.