Thursday 22 Nov 2018: Modeling Contagion Processes on Complex Networks
Prof. Nicola Perra - University of Greenwich
Harrison 170 14:30-15:30
The spreading of infectious diseases, malwares, ideas, and memes are just few examples of real world phenomena that can be modeled as contagion processes on complex networks. During the talk I will summarize some of my research in this area. In particular, I will show how network and data science can be used to i) forecast the spreading of infectious diseases ii) characterize contagion phenomena on time-varying networks iii) understand the effects of algorithmic personalization on opinion dynamics.
Nicola Perra serves as Associate Professor in Network Science in Business School of Greenwich University in London, UK. His research focuses on human dynamics, dynamical processes on complex networks, big-data analytics, and mathematical/digital epidemiology. His research has been published in 50+ peer-reviewed journals, conferences, books, and books chapters receiving 3293+ citations (Google Scholar).