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Social network analysis in predictive policing[electronic resource] :concepts, models and methods /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	363.20285
書名/作者:	Social network analysis in predictive policing : concepts, models and methods // by Mohammad A. Tayebi, Uwe Glasser.
作者:	Tayebi, Mohammad A.
其他作者:	Glasser, Uwe.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 133 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Police - Data processing.
標題:	Computer Science.
標題:	Data Mining and Knowledge Discovery.
標題:	Policing.
標題:	Applications of Graph Theory and Complex Networks.
標題:	Systems and Data Security.
ISBN:	9783319414928
ISBN:	9783319414911
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-41492-8

Social network analysis in predictive policing[electronic resource] :concepts, models and methods /
Tayebi, Mohammad A.

Social network analysis in predictive policingconcepts, models and methods /[electronic resource] :by Mohammad A. Tayebi, Uwe Glasser. - Cham :Springer International Publishing :2016. - xi, 133 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

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.

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.

ISBN: 9783319414928

Standard No.: 10.1007/978-3-319-41492-8doiSubjects--Topical Terms:

672666
Police
--Data processing.

LC Class. No.: HV7936.A8

Dewey Class. No.: 363.20285

Social network analysis in predictive policing[electronic resource] :concepts, models and methods /
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