Social Network Analysis in Predictive Policing : Concepts, Models and Methods / by Mohammad A. Tayebi, Uwe Glässer.

Format:

Book

Author/Creator:

Tayebi, Mohammad A., author.

Glässer, Uwe, 1959- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in social networks 2190-5428

Lecture Notes in Social Networks, 2190-5428

Language:

English

Subjects (All):

Data mining.

Police.

Physics.

Computer security.

Data Mining and Knowledge Discovery.

Policing.

Applications of Graph Theory and Complex Networks.

Systems and Data Security.

Local Subjects:

Data Mining and Knowledge Discovery.

Policing.

Applications of Graph Theory and Complex Networks.

Systems and Data Security.

Physical Description:

1 online resource (XI, 133 pages) : 43 illustrations in color.

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-319-41492-8

9783319414928

Access Restriction:

Restricted for use by site license.