Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Social Networks (LNSN)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
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.
Bibliographic Information
Book Title: Social Network Analysis in Predictive Policing
Book Subtitle: Concepts, Models and Methods
Authors: Mohammad A. Tayebi, Uwe Glässer
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-41492-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-41491-1Published: 12 October 2016
Softcover ISBN: 978-3-319-82368-3Published: 16 June 2018
eBook ISBN: 978-3-319-41492-8Published: 11 October 2016
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XI, 133
Number of Illustrations: 43 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Policing, Applications of Graph Theory and Complex Networks, Systems and Data Security