The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

The emergence of large-scale connectivity and synchronization are crucial to the structure,
function and failure of many complex socio-technical networks. Thus, there is great interest …

Finding an optimal subset of nodes in a network that is able to efficiently disrupt the
functioning of a corrupt or criminal organization or contain an epidemic or the spread of …

Although suppressing the spread of a disease is usually achieved by investing in public
resources, in the real world only a small percentage of the population have access to …

We study the critical behavior of a general contagion model where nodes are either active
(eg, with opinion A, or functioning) or inactive (eg, with opinion B, or damaged). The …

A widely held belief in network epidemiology is that information diffusion makes individuals
aware of the epidemic and thus drives them to seek protections from nonpharmaceutical or …

Resource diffusion is a ubiquitous phenomenon, but how it impacts epidemic spreading has
received little study. We propose a model that couples epidemic spreading and resource …

Efficient testing and vaccination protocols are critical aspects of epidemic management. To
study the optimal allocation of limited testing and vaccination resources in a heterogeneous …

An innovative neurodynamical model of epidemics in social networks–the Neuro-SIR–is
introduced. Susceptible–Infected–Removed (SIR) epidemic processes are mechanistically …

Failure, damage spread and recovery crucially underlie many spatially embedded
networked systems ranging from transportation structures to the human body. Here we study …