In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

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 …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

The combination of the compactness of networks, featuring small diameters, and their
complex architectures results in a variety of critical effects dramatically different from those in …

This paper investigates the issue of measuring knowledge diffusion efficiency in R&D
network based on the weighted network method. For the reality of R&D networks, we …

Mathematical and computational approaches are important tools for understanding
epidemic spread patterns and evaluating policies of disease control. In recent years …

We study the onset and spreading of cascading failure on weighted heterogeneous
networks by adopting a local weighted flow redistribution rule, where the weight and …

Numerical simulation of continuous-time Markovian processes is an essential and widely
applied tool in the investigation of epidemic spreading on complex networks. Due to the high …

Weight distribution greatly impacts the epidemic spreading taking place on top of networks.
This paper presents a study of a susceptible-infected-susceptible model on regular random …

A finite-size-scaling (FSS) theory is proposed for various models in complex networks. In
particular, we focus on the FSS exponent, which plays a crucial role in analyzing numerical …