UL expert devises technique to predict spread of disease
Professor James Gleeson’s new mathematical technique analyses and predicts the outcome of major changes in a diverse range of spreading phenomena such as epidemics, computer viruses and social media trends.
A paper by him entitled High-accuracy approximation of binary-state dynamics on networks has just been published by leading science journal, Physical Review Letters.
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