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 …

We review behavioural change models (BCMs) for infectious disease transmission in
humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our …

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 …

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 …

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 …

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 …

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 …

Efficient security patch distribution is of essential importance for updating anti-virus software
to ensure effective and timely virus detection and cleanup. In this paper, we propose a mixed …

Identifying the most influential spreaders is an important issue in controlling the spreading
processes in complex networks. Centrality measures are used to rank node influence in a …