CS Forum: Petter Holme "Advances in spreading phenomena on networks: Algorithms and insights"
Time: Tuesday 5 Oct at 11:00-12:00
Place: Zoom https://aalto.zoom.us/j/67663533433 (passcode 787302)
Advances in spreading phenomena on networks: Algorithms and insights
Thanks to the Covid-19 pandemic, everyone knows about epidemic modeling. The surge of newcomers to the field has made it clear that network epidemiology — the branch of theoretical epidemiology modeling contact structures as networks — needs a solid foundation. I will cover the many subtleties in network-epidemiological modeling, especially when the networks are time-resolved: how to specify such models in detail and efficient algorithms for their simulation. Furthermore, I will discuss machine-learning approaches to evaluating classical network centralities as predictors for the epidemic importance of individuals. Finally, I will cover the use of computational algebra for epidemic modeling on small graphs.
Professor Jari Saramäki, Department of Computer Science