Discovery Early Career Researcher Award - Grant ID: DE160100630

Funded Activity Summary

Relating function of complex networks to structure using information theory. This project aims to investigate networks in order to translate network function to a universal language of information flows. Network science has used common tools to reveal universal connection structures within various biological and man-made networks – our brains, social networks and power grids are all networks of interacting components. Yet there is no common method to study the function of these networks and how such function is coupled with structure. This project aims to relate network structure to function by using measures of information processing as a generally-applicable framework. This will deliver a theory of how structure gives rise to dynamics and how structure can be optimised for desired dynamics.

Funded Activity Details

Start Date: 30-06-2016

End Date: 31-12-2019

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $375,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Life | Complex Physical Systems | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Physical Sciences | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Artificial Life | Complex Physical Systems | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Physical Sciences

Related Links