Social Network Analysis in Predictive Policing - Concepts, Models and Methods (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	June 2018
First published:	2016
Authors:	Mohammad A. Tayebi • Uwe Glasser
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	133
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-82368-3
Categories:	Books > Science & Mathematics > Physics > General Books > Computing & IT > Computer communications & networking > Network security Books > Social sciences > Sociology, social studies > Crime & criminology > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-82368-X
Barcode:	9783319823683

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!