Thema der Dissertation:
Hybrid algorithm for efficient simulation of spreading processes on adaptive networks Thema der Disputation:
Contact networks in epidemiological modeling
Hybrid algorithm for efficient simulation of spreading processes on adaptive networks Thema der Disputation:
Contact networks in epidemiological modeling
Abstract: Contact networks are crucial in shaping the spread dynamics of infectious diseases and are integral to epidemiological modeling. This talk will emphasise the importance of underlying contact network structures in understanding transmission patterns. We will explore commonly used network types, beginning with fully connected networks and moving to more realistic static network structures and complex systems like temporarily evolving and adaptive networks. Each network type provides unique insights, illustrating how varied structures impact outbreak predictions and the effectiveness of control measures.
In the latter part of the talk, I will discuss the challenges of modeling disease spread on adaptive networks, particularly regarding algorithm selection for simulating spreading processes. I will present a novel algorithmic approach to address these challenges, offering a solution that enhances the runtime while maintaining the accuracy of the outcome.
In the latter part of the talk, I will discuss the challenges of modeling disease spread on adaptive networks, particularly regarding algorithm selection for simulating spreading processes. I will present a novel algorithmic approach to address these challenges, offering a solution that enhances the runtime while maintaining the accuracy of the outcome.
Time & Location
Nov 11, 2024 | 09:30 AM
Seminarraum 005
(Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)