Jessica Liebig

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Research@Locate Presentation:
The case study of an Australian crime dataset

Jessica Liebig, PhD student at RMIT University


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Things You Will Learn

  1. Analysis of crime data is crucial in the prevention of illegal activity
  2. Tools from complex network analysis can give valuable insight into the dynamics of crimes
  3. The ranking of various offences reflects their severity and frequency
  4. Areas where criminal activity occurs can be grouped, helping to make decisions about which prevention policy should be applied.

Target Audience

The presentation of our paper is of interest to all organisations and individuals that are interested in the prevention and analysis of criminal activity. As the approach that is used in our paper is not restricted to crime data, but can be applied to other spatial datasets, a broad audience would benefit from our presentation.

Presentation Overview

Analysis of crime data is crucial for prevention and assessment of illegal activity. This paper is one of the first case studies of a crime dataset collected in New South Wales, Australia. We apply methods from complex network analysis to identify key aspects of criminal activity in the state of New South Wales. We further detect groups of local government areas and examine their dynamics over time. We represent our results by using various different visualisation techniques.


Jessica is working in the area of complex network science and has presented results of her research at several local and international conferences as well as in peer reviewed journals. She received her Honours degree in Mathematics in 2012.