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Community-Oriented Policing and Technological Innovations

Overview of attention for book
Cover of 'Community-Oriented Policing and Technological Innovations'

Table of Contents

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    Book Overview
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    Chapter 1 Serious Games: An Attractive Approach to Improve Awareness
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    Chapter 2 Can Technology Build Trust? Community-Oriented Policing and ICT in Afghanistan
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    Chapter 3 Community Outreach Using Incident Records and Visual Analytics
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    Chapter 4 Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring
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    Chapter 5 Architecting Next Generating Community Policing Solutions
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    Chapter 6 Developing and Assessing Next Generation Community Policing Social Networks with THOR Methodology
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    Chapter 7 Next Generation of CP: The Unity IT Toolkit
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    Chapter 8 A Descriptive, Practical, Hybrid Argumentation Model to Assist with the Formulation of Defensible Assessments in Uncertain Sense-Making Environments
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    Chapter 9 Situating Fear of Crime: The Prospects for Criminological Research to Use Smartphone Applications to Gather Experience Sampling Data
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    Chapter 10 Analytic Provenance as Constructs of Behavioural Markers for Externalizing Thinking Processes in Criminal Intelligence Analysis
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    Chapter 11 Analysis of Suspended Terrorism-Related Content on Social Media
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    Chapter 12 UAVs and Their Use in Servicing the Community
Attention for Chapter 4: Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring
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Citations

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Readers on

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6 Mendeley
Summary Dimensions citations
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Chapter title
Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring
Chapter number 4
Book title
Community-Oriented Policing and Technological Innovations
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-89294-8_4
Book ISBNs
978-3-31-989293-1, 978-3-31-989294-8
Authors

Birgit Kirsch, Sven Giesselbach, David Knodt, Stefan Rüping, Kirsch, Birgit, Giesselbach, Sven, Knodt, David, Rüping, Stefan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%

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