The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

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 …

Spreading processes have been largely studied in the literature, both analytically and by
means of large-scale numerical simulations. These processes mainly include the …

Complex systems are high-dimensional nonlinear dynamical systems with heterogeneous
interactions among their constituents. To make interpretable predictions about their large …

Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Identifying a set of influential nodes is an important topic in complex networks which plays a
crucial role in many applications, such as market advertising, rumor controlling, and …

The effectiveness of control measures to contain coronavirus disease 2019 (COVID-19) in
Wanzhou, China was assessed. Epidemiological data were analyzed for 183 confirmed …

Efficient modeling of information diffusion in an online social network, like viral distribution of
a market product or rumor control, can be achieved through the most influential nodes in the …