Complex network models are helpful to explain the evolution rules of network structures, and
also are the foundations of understanding and controlling complex networks. The existing …

A city is considered as a complex system. It consists of numerous interactive sub-systems
and is affected by diverse factors including governmental land policies, population growth …

The static topology properties of financial networks have been widely investigated since the
work done by Mantegna, yet their dynamic evolution with time is little considered. In this …

Correlation-based weighted financial networks are analyzed to present cumulative
distribution of strength with a power-law tail, which suggests that a small number of hub-like …

The network topology of complex networks evolves dynamically with time. How to model the
internal mechanism driving the dynamic change of network structure is the key problem in …

For decades, complex networks, such as biological networks, social networks, chemical
networks, and technological networks, have been used to study the evolution and dynamics …

Social networks have attracted increasing attention from both academic and industrial
societies recently, and weighted social networks play an important role in the studies of …

We focus on organizational structures in covert networks, such as criminal or terrorist
networks. Their members engage in illegal activities and attempt to hide their association …

We propose a nonlinear growing model for weighted networks with two significant
characteristics:(i) the new weights triggered by new edges at each time step grow …

In this paper, we present a simple evolution model of protein-protein interaction networks by
introducing a rule of small-preference duplication of a node, meaning that the probability of a …