Reducing Spreading Processes on Networks to Markov Population Models
Abstract
Stochastic processes on complex networks, where each node is in one of several compartments, and neighboring nodes interact with each other, can be used to describe a variety of real-world spreading phenomena. However, computational analysis of such processes is hindered by the enormous size of their underlying state space.
Type
Publication
Quantitative Evaluation of Systems
Cite
@inproceedings{grossmannReducingSpreadingProcessesOn2019,
address = {Cham},
author = {Großmann, Gerrit and Bortolussi, Luca},
booktitle = {Quantitative Evaluation of Systems},
editor = {Parker, David and Wolf, Verena},
isbn = {978-3-030-30281-8},
pages = {292--309},
publisher = {Springer International Publishing},
title = {Reducing Spreading Processes on Networks to Markov Population Models},
year = {2019}
}