Graphs/networks are naturally used in many applications to model the intricate relationships among objects. These applications include public health, social networks, e-commerce, cybersecurity, defense and many more. In this project, we will look into structure based analysis of large scale graphs. Some topics include:
- community search in social networks
- robustness analysis of networks
- fraud / anomaly detection in networks
- biological networks
School
Computer Science and Engineering
Research Area
Data analytics | Machine learning | Databases
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The project will involve working with the members of the Data and Knowledge Research Group: https://unswdb.github.io/.
The expected outcomes of the project will be either
- a demonstration of an existing work where the source codes for the techniques are available.
- a research article that investigates a research problem with novel solutions.
- preparation of data.
- https://unswdb.github.io/ with recent papers in the area.