Lecture Notes in Social Networks

Social Network Analysis in Predictive Policing

Concepts, Models and Methods

Authors: Tayebi, Mohammad A., Glässer, Uwe

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  • Presents a computational method and a thorough experimental evaluation for each problem, along with a discussion of the results
  • Contains formal representation and algorithmic solutions of predictive policing problems
  • Builds on extensive experience from working with law enforcement agencies
  • Opens a new research direction in the field of computational criminology
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eBook $69.99
price for USA in USD (gross)
  • ISBN 978-3-319-41492-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA in USD
  • ISBN 978-3-319-41491-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA in USD
  • ISBN 978-3-319-82368-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.


About the authors

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $69.99
price for USA in USD (gross)
  • ISBN 978-3-319-41492-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA in USD
  • ISBN 978-3-319-41491-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA in USD
  • ISBN 978-3-319-82368-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Social Network Analysis in Predictive Policing
Book Subtitle
Concepts, Models and Methods
Authors
Series Title
Lecture Notes in Social Networks
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-41492-8
DOI
10.1007/978-3-319-41492-8
Hardcover ISBN
978-3-319-41491-1
Softcover ISBN
978-3-319-82368-3
Series ISSN
2190-5428
Edition Number
1
Number of Pages
XI, 133
Number of Illustrations
43 illustrations in colour
Topics