It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

It is increasingly recognized that a key component of successful infection control efforts is
understanding the complex, two-way interaction between disease dynamics and human …

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 …

In most natural and engineered systems, a set of entities interact with each other in
complicated patterns that can encompass multiple types of relationships, change in time and …

We propose a novel epidemic model based on two-layered multiplex networks to explore
the influence of positive and negative preventive information on epidemic propagation. In …

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 …

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 …

How to understand the propagation properties of infectious diseases among the population
is an important topic in the field of epidemic modelling. In this paper, we investigate the …

Identifying influential spreaders in complex networks is crucial in understanding, controlling
and accelerating spreading processes for diseases, information, innovations, behaviors, and …