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Dijital Arşivi

Multi-layer network appoach in modeling epidemics in an urban town

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Bingöl, Haluk.
dc.contributor.author Türker, Melikşah.
dc.date.accessioned 2023-10-15T06:54:28Z
dc.date.available 2023-10-15T06:54:28Z
dc.date.issued 2022
dc.identifier.other CMPE 2022 T87
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/19708
dc.description.abstract The last two years have been an extraordinary time with the Covid-19 pandemic killing millions, affecting and distressing billions of people worldwide. Authorities took various measures such as turning school and work to remote and prohibiting social relations via curfews. In order to mitigate the negative impact of the epidemics, researchers tried to estimate the future of the pandemic for different scenarios, using forecasting techniques and epidemics simulations on networks. Networks used in these research are either synthetic networks or real networks with limited size and domain specific interactions. Hence, their ability to represent the world is limited. Intending to represent real-life in an urban town in high resolution, we propose a parametric multi-layer undirected weighted network model, where vertices are the individuals of a town that tend to interact locally, and edges represent transmission probability. Each layer corresponds to a different interaction that occurs daily, such as “household”, “work” or “school”, with their own transmission probability. Our simulations indicate that locking down “friendship” layer has the highest impact in slowing down epidemics. Hence, our contributions are twofold, first we propose a parametric network generator model; second, we run SIR simulations on it and show the impact of layers.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022.
dc.subject.lcsh Multiagent systems.
dc.subject.lcsh COVID-19 Pandemic, 2020-
dc.title Multi-layer network appoach in modeling epidemics in an urban town
dc.format.pages xi, 41 leaves


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