Random Network Models With Applications in Biology
Grant number: DP120102398 | Funding period: 2012 - 2015
Completed
Abstract
Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.