Visualization and Analysis of Large and Complex Biological Networks and Social Networks

Summary

This project aims to design, implement and evaluate new analysis, visualization and interaction techniques for large and complex networks such as social networks and biological networks.

Supervisor(s)

Professor Seok-Hee Hong

Research Location

Information Technologies

Program Type

Masters/PHD

Synopsis

Recent technological advances have led to many large and complex network models in many domains, including social networks, biological networks, webgraphs and software engineering. Visualization can be an effective analysis tool for such networks. Good visualisation reveals the hidden structure of the networks and amplifies human understanding, thus leading to new insights, new findings and possible prediction of the future. However, visualisation of such large and complex networks is very challenging due to scalability and visual complexity.

This project addresses the challenging issues for visualisation and analysis of large and complex networks by designing and evaluating new efficient and effective algorithms for large and complex social networks and biological networks. In particular, integration of good analysis method with good visualisation method will be the key approach to solve the research challenge.

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Keywords

algorithm, graph drawing, Information visualization, graph mining, network analysis, large and complex networks, social networks, biological networks

Opportunity ID

The opportunity ID for this research opportunity is: 1034

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