Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

Throughout the last two decades, complex systems have been modeled as complex
networks by capturing pairwise interactions. However, as research has progressed, it has …

Minimizing the spread of infections is a challenging problem, and it is the subject matter in
many different fields such as epidemiology and cyber-security. In this paper, we investigate …

Many epidemics or viruses in real life spread by taking advantage of other dynamic
processes, eg, the computer virus propagates with the transmission of packets. In this paper …

Recent progress on multiplex networks has provided a powerful way to abstract the diverse
interaction of a network system with multiple layers. In this paper, we show that a multiplex …

We investigate vulnerability of complex networks including model networks and real-world
networks subject to path-based attacks. Specifically, we remove approximately the longest …

Compared with traditional models, semi-random epidemic network models may be more
reasonable to describe the real dynamics of many epidemics. In this paper, we first …

We study SIR epidemic spreading in networks driven by traffic dynamics, which are further
governed by static routing protocols. We obtain the maximum instantaneous population of …

In this paper, we study the control of the traffic-driven epidemic spreading by immunization
strategy. We consider the random, degree-based and betweenness-based immunization …

Despite extensive work on traffic dynamics and epidemic spreading on complex networks,
the vast majority of theoretical approaches assumes an identical infection rate for all nodes …