Stochastic Processes on Random Graphs
Project description
Given a random graph G = (V, E), we begin by endowing each vertex v in V with a colour from a set S. As time progresses, the vertices change their colours as they interact with their neighbours. The goal of this project is to understand the large graph limiting behaviour of the system, as the number of vertices of the graph grows arbitrarily large.
This is a theoretical project and will require a solid foundation in analysis (both real and functional), probability theory in general and stochastic processes in particular.
Project published references
Wasiur R. KhudaBukhsh, Casper Woroszylo, Grzegorz Rempała, and Heinz Koeppl. A Functional Central Limit Theorem for Susceptible-Infected (SI) Process on Configuration Model Graphs. Advances in Applied Probability, 2022.
Wasiur R. KhudaBukhsh, Arnab Auddy, Yann Disser and Heinz Koeppl. Approximate lumpability for Markovian agent-based models using local symmetries. Journal of Applied Probability, September 2019.
More information
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