In the field of complex networks, how to identify influential nodes is a significant issue in
analyzing the structure of a network. In the existing method proposed to identify influential …

Community detection algorithms have been widely used to study the organization of
complex networks like the brain. These techniques provide a partition of brain regions (or …

We present general methods to exactly calculate mean first-passage quantities on self-
similar networks defined recursively. In particular, we calculate the mean first-passage time …

Hodgkin–Huxley neurons can be used as logic gates to perform reliable logic operations
under an optimal noise intensity window. Fluctuations in ion concentrations inside and …

Many real networks share three generic properties: they are scale-free, display a small-
world effect, and show a power law strength-degree correlation. In this paper, we propose a …

Spanning trees provide crucial insight into the origin of fractality in fractal scale-free
networks. In this paper, we present the number of spanning trees in a particular fractal scale …

Nonlinear time series analysis aims at understanding the dynamics of stochastic or chaotic
processes. In recent years, quite a few methods have been proposed to transform a single …

In this paper, we study a hierarchical scale-free network with special fractal structure. We
study the average path length and associate the average path length with the symbol length …

Precisely quantifying the heterogeneity or disorder of network systems is important and
desired in studies of behaviors and functions of network systems. Although various degree …

The fractal property is considered as the third fundamental property of complex networks; its
research has both rich theoretical value and practical significance. This paper reviews the …