Optimal Control of Interdependent Epidemics in Complex Networks
Abstract
Optimal control of interdependent epidemics spreading over complex networks is a critical issue. We first establish a framework to capture the coupling between two epidemics, and then analyze the system's equilibrium states by categorizing them into three classes, and deriving their stability conditions. The designed control strategy globally optimizes the trade-off between the control cost and the severity of epidemics in the network. A gradient descent algorithm based on a fixed point iterative scheme is proposed to find the optimal control strategy. The optimal control will lead to switching between equilibria of the interdependent epidemics network. Case studies are used to corroborate the theoretical results finally.
Cite
@article{arxiv.1710.06454,
title = {Optimal Control of Interdependent Epidemics in Complex Networks},
author = {Juntao Chen and Rui Zhang and Quanyan Zhu},
journal= {arXiv preprint arXiv:1710.06454},
year = {2017}
}
Comments
8 figures. Oral presentation at SIAM Workshop in Network Science 16 in joint with SIAM Annual Meeting