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Full-Text Articles in Criminology
Re-Spatializing Gangs: An Exponential Random Graph Model Of Twitter Data To Analyze The Geospatial Distribution Of Gang Member Connections, Ryan J. Roberts
Re-Spatializing Gangs: An Exponential Random Graph Model Of Twitter Data To Analyze The Geospatial Distribution Of Gang Member Connections, Ryan J. Roberts
Political Science & Geography Faculty Publications
Gang studies often use location-based approaches to explain gang members’ interconnectedness. Although this perspective remains consistent with the proximity principle that the smaller the geographic space, the greater the likelihood of observing connections between individuals, location-based studies limit our understanding of gang member connections to narrowly defined geographic spaces at specific points in time. The advent of social media has re-spatialized gang member interconnectedness to unbounded geographic spaces, where the preservation of online activity can extend indefinitely. Despite having an online presence, most research examining the digital footprint of gangs tends to be descriptive. This study collects Twitter data to …
Ua12/8 Annual Campus Safety & Security Report, Wku Police
Ua12/8 Annual Campus Safety & Security Report, Wku Police
WKU Archives Records
This report is designed to provide students, potential students, parents, facility and staff with crime statistics and information on university services and crime prevention programs.
Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu
Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results …