This talk will be presented by CSH visitor Deb Panja (Complex Systems Studies at Utrecht University) on Friday, November 18 at 3 pm in the Salon.
If you would like to attend, please email to firstname.lastname@example.org.
Title: Optimised for efficiency and vulnerable to spreading: a perspective from temporal networks
The concepts of build-up and spontaneous relaxation of “tensions” due to reorganizations within complex systems have been the defining characteristics of self-organised criticality. They have also found their places in econophysics literature. I will take this further for socio-technical systems such as transport and supply chains: using extensive real-life operational data from the Dutch railways, I will demonstrate that a temporal network is a very well-suited language for describing such tensions in the system to trace out its systemic vulnerability to spreading . Touching upon “a system more optimized for efficiency is more vulnerable to spreading phenomena”, I will develop “entanglement entropy” as a measure for tension in temporal networks . The framework will also bring us to a completely different application: spreading of infectious diseases (the specific application is reanalysing/modelling the first COVID-19 wave in the Netherlands for policy purposes).
 M. M. Dekker and D. Panja. Cascading dominates large-scale disruptions in transport over complex networks. PLOS ONE 16, e0246077 (2021).
 M. M. Dekker, R. D. Schram, J. Ou and D. Panja. Hidden dependence of spreading vulnerability on topological complexity. Phys. Rev. E 105,054301 (2022).
 M. M. Dekker, L. E. Coffeng, F. P. Pijpers, D. Panja and S. J. de Vlas. Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation. https://www.medrxiv.org/content/10.1101/2022.03.31.22273222.abstract (in revision for eLife).
Deb Panja is an Complex Systems scientist and the vice-director of the Centre for Complex Systems Studies at Utrecht University. Working in the interface of Physics, Applied Mathematics and Computational Science, his keen interest lies in addressing real-world problems and issues. His collaborations include a broad spectrum of disciplines, e.g., biology, ecology, neuroscience, epidemiology, transport systems and economic complexity.