2012 MRes projects
- Twitter and Crime: The spatio-temporal link between social-media and criminal activity
- To what extent do water treatment processes affect the concentration of peroxide explosives in river water?
- Dual-band Frequency Reconfigurable Antennas
- Incorporating Nanostructures to Enhance the Performance of Semiconducting Metal
- A relevance study determining the use of GSR upon clothing and shoes as an item of evidence
- Automating the conceptual analysis of large-scale text-based subjective data sets
- Assessing the potential of e-noses for illicit drug detection in future drug-trafficking interdiction strategies
- Judgement in UK fingermark recovery: room for development?
- Modelling the allocation of crowd control resources
- Comparative study of the different feature extraction algorithms used for fingerprint identification
- Domain Adaptation of Statistical Classifiers for Security-related Bug Reports
- The detection of clandestine methamphetamine laboratories using semiconducting metal oxide gas sensors
- The evaluation of geochemical analysis methods for forensic provenance and interpretation
- Confirmation bias: A Study of biasability within Forensic anthropological visual assessments on skeletal remains
- Statistical change point detection of internet traffic
- Trace evidence dynamics: assessing the transfer and persistence of microbial diatom evidence in forensic investigation
- Data Communication for Underwater Sensor Networks
- Automated Cargo Inspection: Exploring the use of Machine Vision in X-ray Transmission Imaging
- Network Externalities and Migration: An Agent-Based Model Distinguishing Documented and Undocumented Flows
Twitter and Crime: The spatio-temporal link between social-media and criminal activity
21 March 2013
Twitter is an open platform for social, business, and news purposes. Within the past 2 years it has emerged as a key factor in the detection, monitoring, and reporting of crime and political uprising as witnessed in the Arab Spring and London riots. This research seeks to investigate the relationship, if any, between the use of Twitter and the occurrence of specific crime and event types. The project will seek to identify significant links between the spatio-temporal profile of events, and the use of Twitter using space-time-scan-statistics; a 3-dimensional approach to space-time clustering. In particular, the research will seek to explain the spatial and temporal dispersion. The studies objective, being to advise, and inform policing strategy in the use of social-media, and event detection and monitoring.