Adaptive dynamical networks
It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …
structural organization. Adaptive dynamical networks represent a broad class of systems that …
Data-driven methods for present and future pandemics: Monitoring, modelling and managing
This survey analyses the role of data-driven methodologies for pandemic modelling and
control. We provide a roadmap from the access to epidemiological data sources to the …
control. We provide a roadmap from the access to epidemiological data sources to the …
Mathematics of epidemics on networks
Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …
several branches of science, including physics, mathematics, biology and social sciences …
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
Using node centrality and optimal control to maximize information diffusion in social networks
K Kandhway, J Kuri - IEEE Transactions on Systems, Man, and …, 2016 - ieeexplore.ieee.org
We model information dissemination as a susceptible-infected epidemic process and
formulate a problem to jointly optimize seeds for the epidemic and time varying resource …
formulate a problem to jointly optimize seeds for the epidemic and time varying resource …
Optimal control for heterogeneous node-based information epidemics over social networks
F Liu, M Buss - IEEE Transactions on Control of Network …, 2020 - ieeexplore.ieee.org
In this article, we investigate the optimal control problems of heterogeneous node-based
information epidemics. A node-based susceptible-infected-recovered-susceptible model is …
information epidemics. A node-based susceptible-infected-recovered-susceptible model is …
Data-driven methods to monitor, model, forecast and control covid-19 pandemic: Leveraging data science, epidemiology and control theory
This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
Dynamic control of modern, network-based epidemic models
In this paper we make the first steps to bridge the gap between classic control theory and
modern, network-based epidemic models. In particular, we apply nonlinear model predictive …
modern, network-based epidemic models. In particular, we apply nonlinear model predictive …
Individual-based optimal weight adaptation for heterogeneous epidemic spreading networks
P Hu, L Ding, T Hadzibeganovic - Communications in Nonlinear Science …, 2018 - Elsevier
We study epidemic spreading on arbitrary weighted, directed, and heterogeneous complex
networks. We propose an individual-based weight adaptation mechanism in which …
networks. We propose an individual-based weight adaptation mechanism in which …
Campaigning in heterogeneous social networks: Optimal control of SI information epidemics
K Kandhway, J Kuri - IEEE/ACM Transactions on Networking, 2014 - ieeexplore.ieee.org
We study the optimal control problem of maximizing the spread of an information epidemic
on a social network. Information propagation is modeled as a susceptible-infected (SI) …
on a social network. Information propagation is modeled as a susceptible-infected (SI) …