Virus models are used commonly for modeling and analysis of biological networks,
computer networks, and human contact networks. The dynamic modeling of such systems in …

Infectious diseases pose a serious threat to public health due to its high infectivity and
potentially high mortality. One of the most effective ways to protect people from being …

This paper presents an optimal control problem formulation to minimize the total number of
infection cases during the spread of susceptible-infected-recovered SIR epidemics in …

Treatable infectious diseases are a critical challenge for public health. Outreach campaigns
can encourage undiagnosed patients to seek treatment but must be carefully targeted to …

As the pandemic advances and universal immunization keeps slipping worldwide, acquiring
the mechanism behind this phenomenon carries the same realistic weight as pandemic …

We consider the problem of inhibiting undesirable contagions (eg rumors, spread of mob
behavior) in social networks. Much of the work in this context has been carried out under the …

Suppose there is a spreading process propagating on a weighted graph. Denote the graph's
weight matrix as W. How would we reduce the number of nodes affected during the …

The emergency generated by the current COVID-19 pandemic has claimed millions of lives
worldwide. There have been multiple waves across the globe that emerged as a result of …

Dynamic networks are networks with temporal relationship features which evolve over time
by the inclusion and deletion of nodes and edges. Suppressing the epidemic spreading in …

Diffusion on graphs is ubiquitous with numerous high-impact applications, ranging from the
study of residential segregation in socioeconomics and activation cascading in …