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 …

Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …

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 …

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 …

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

Identifying influential spreaders is crucial for develo** strategies to control the spreading
process on complex networks. Following the well-known K-Shell (KS) decomposition …

Different ways of calculating mortality during epidemics have yielded very different results,
particularly during the current COVID-19 pandemic. For example, the'CFR'has been …

Investigations on spreading dynamics based on complex networks have received
widespread attention these years due to the COVID-19 epidemic, which are conducive to …