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 …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Simplicial complexes describe the simple fact that in social networks a link can connect
more than two individuals. As we show here, this has far-reaching consequences for …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

SARS-CoV-2 is a new coronavirus that has caused a worldwide pandemic. It produces
severe acute respiratory disease (COVID-19), which is fatal in many cases, characterised by …

The Internet of things (IoT) is revolutionizing the management and control of automated
systems leading to a paradigm shift in areas, such as smart homes, smart cities, health care …

In this paper, we propose a coupled awareness—epidemic spreading model considering
the heterogeneity of individual influences, which aims to explore the interaction between …

Epidemics pose a significant threat to societal development. Accurately and swiftly
identifying the source of an outbreak is crucial for controlling the spread of an epidemic and …

Suppressing and preventing epidemic spreading is of critical importance to the well being of
the human society. To uncover phenomena that can guide control and management of …

Social synchrony (SS) is an emergent phenomenon in human society. People often mimic
others which, over time, can result in large groups behaving similarly. Drawing from prior …