Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180102553
Funding Status
Active
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Funded Activity Summary
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.Funded Activity Details
Start Date: 06-2018
End Date: 06-2023
Funding Scheme: Discovery Projects
Funding Amount: $421,097.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Analysis of Algorithms and Complexity | Distributed and Grid Systems | Computation Theory and Mathematics
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in Technology |
