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Mohammad Ali Tayebi - Social Network Analysis in Predictive Policing: Concepts, Models and Methods - 9783319414911 - V9783319414911
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Social Network Analysis in Predictive Policing: Concepts, Models and Methods

€ 127.34
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Description for Social Network Analysis in Predictive Policing: Concepts, Models and Methods Hardback. Series: Lecture Notes in Social Networks. Num Pages: 144 pages, 43 colour illustrations, biography. BIC Classification: JKVF; UDBS; UNF; UR. Category: (G) General (US: Trade). Dimension: 235 x 155 x 10. Weight in Grams: 388.
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 ... Read more

Product Details

Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Series
Lecture Notes in Social Networks
Condition
New
Weight
388g
Number of Pages
133
Place of Publication
Cham, Switzerland
ISBN
9783319414911
SKU
V9783319414911
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Mohammad Ali Tayebi
Dr. Uwe Glasser 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 ... Read more

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