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The Resource Social Network Analysis in Predictive Policing : Concepts, Models and Methods

Social Network Analysis in Predictive Policing : Concepts, Models and Methods

Label
Social Network Analysis in Predictive Policing : Concepts, Models and Methods
Title
Social Network Analysis in Predictive Policing
Title remainder
Concepts, Models and Methods
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Subject
Language
eng
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Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Lecture Notes in Social Networks Ser
Social Network Analysis in Predictive Policing : Concepts, Models and Methods
Label
Social Network Analysis in Predictive Policing : Concepts, Models and Methods
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4716216
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Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Foreword -- Preface -- Contents -- 1 Introduction -- References -- 2 Social Network Analysis in Predictive Policing -- 2.1 Conventional Crime Analysis -- 2.2 Predictive Policing -- 2.3 Social Network Analysis -- 2.4 Co-offending Networks -- 2.5 Co-offending Network Analysis in Practice -- References -- 3 Structure of Co-offending Networks -- 3.1 Crime Data -- 3.1.1 Crime Data Model -- 3.1.2 Co-offending Network Model -- 3.1.3 BC Crime Dataset -- 3.2 Co-offending Network Structural Properties -- 3.2.1 Degree Distribution -- 3.2.2 Co-offending Strength Distribution -- 3.2.3 Connecting Paths -- 3.2.4 Clustering Coefficient -- 3.2.5 Connected Components Analysis -- 3.2.6 Network Evolution Analysis -- 3.3 Key Players in Co-offending Networks -- 3.3.1 Centrality Measures -- 3.3.2 Key Players Removal Effects -- 3.3.3 Experiments and Results -- 3.4 Conclusions -- References -- 4 Organized Crime Group Detection -- 4.1 Background -- 4.1.1 Community Detection in Social Networks -- 4.2 Concepts and Definitions -- 4.2.1 Problem Definition -- 4.3 Proposed Approach -- 4.3.1 Organized Crime Group Detection -- 4.3.2 Organized Crime Group Evolution Model -- 4.4 Experiments and Results -- 4.4.1 Offender Groups Characteristics -- 4.4.2 Organized Crime Groups -- 4.5 Conclusions -- References -- 5 Suspects Investigation -- 5.1 Background -- 5.2 Problem Definition -- 5.3 CrimeWalker -- 5.3.1 A Single Random Walk in CrimeWalker -- 5.3.2 CrimeWalker for a Set of Offenders -- 5.3.3 Similarity Measure for Offenders -- 5.3.4 Feature Weights Computation -- 5.4 Experiments and Results -- 5.4.1 Experimental Design -- 5.4.2 Comparison Partners -- 5.4.3 Experiments and Results -- 5.5 Conclusions -- References -- 6 Co-offence Prediction -- 6.1 Background -- 6.1.1 Crime Prediction -- 6.1.2 Link Prediction -- 6.2 Concepts and Definitions -- 6.2.1 Notations
  • 6.2.2 Offenders' Activity Space -- 6.2.3 Geographic and Network Proximity -- 6.2.4 Problem Definition -- 6.3 Supervised Learning for Co-Offence Prediction -- 6.3.1 Criminal Cooperation Opportunities -- 6.3.2 Reducing Class Imbalance Ratio -- 6.4 Prediction Features -- 6.4.1 Social Features -- 6.4.2 Geographic Features -- 6.4.3 Geo-Social Features -- 6.4.4 Similarity Features -- 6.5 Experiments and Results -- 6.5.1 Experimental Design -- 6.5.2 Single Features Significance -- 6.5.3 Prediction Evaluation -- 6.5.4 Criminological Implications -- 6.6 Conclusions -- References -- 7 Personalized Crime Location Prediction -- 7.1 Background -- 7.1.1 Spatial Pattern of Crime -- 7.1.2 Crime Pattern Theory -- 7.1.3 Activity Space -- 7.1.4 Directionality -- 7.1.5 Crime Location Prediction -- 7.1.6 Urban Environment -- 7.1.7 Problem Definition -- 7.2 CrimeTracer Model -- 7.2.1 Model Description -- 7.2.2 Random Walk Process -- 7.2.3 Starting Probabilities -- 7.2.4 Movement Directionality -- 7.2.5 Stopping Criteria -- 7.3 Experiments and Results -- 7.3.1 Data Characteristics -- 7.3.2 Experimental Design -- 7.3.3 Comparison Partners -- 7.3.4 Experiments and Results -- 7.4 Conclusions -- References -- 8 Concluding Remarks -- References -- Index
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{'f': 'http://opac.lib.rpi.edu/record=b4386292'}
Extent
1 online resource (141 pages)
Form of item
online
Isbn
9783319414928
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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