grant

Discovery Projects - Grant ID: DP180102553 [ 2018-06-04 - 2023-06-03 ]

Research Grant

[Cite as https://purl.org/au-research/grants/arc/DP180102553]

Researchers: Prof Seok-Hee Hong (Chief Investigator) ,  Kwan-Liu Ma (Partner Investigator)

Brief description Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.

Funding Amount $421,097

Funding Scheme Discovery Projects

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