Public defence in Computer Science, M.Sc. (Tech) Arash Badie-Modiri

New methods pave the way for understanding epidemics, public transportation, and other temporal network phenomena
Computer-generated image, in post-impressionist style, of a group of men and women looking at their mobile phones.

Title of the doctoral thesis: Reachability and Spreading Processes on Temporal Networks

Opponent: Professor Renaud Lambiotte, Mathematical Institute, University of Oxford, England
Custos: Assistant Professor Mikko Kivelä, Aalto University School of Science, Department of Computer Science

The public defence will be organised on campus and via Zoom:

The thesis is publicly displayed 10 days before the defence in the publication archive Aaltodoc of Aalto University

Electronic thesis

Public defence announcement:

The spreading of diseases, public transport networks, and the diffusion of rumours and information through social networks have often been studied as independent, unrelated systems by scholars of different disciplines. In the last decade, however, spreading processes on temporal networks have been effectively used as a unifying model that can make predictions about these and many other complex systems.

This work shows that spreading processes on temporal networks share dynamics and characteristics with an even wider class of physical models called the directed percolation universality class. This connection means that the many decades of accumulated knowledge on all directed percolation systems, from liquid percolating in porous media to turbulent liquid crystals, can be applied to temporal network models as well. This opens up new avenues for understanding phenomena such as epidemics, accessibility and robustness of public transport networks and viral circulation of news online.

Contact details of the doctoral student: [email protected]

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