The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …

The identification of important nodes in complex networks is an area of exciting growth due
to its applications across various disciplines like disease control, data mining and network …

The important nodes identification has been an interesting problem in this issue. Several
centrality methods have been proposed to solve this problem, but most previous methods …

Measuring the vulnerability of communities in complex networks has become an important
topic in the research of complex systems. Numerous existing vulnerability measures have …

Chaos theory is a mathematical theory that studies nonlinear dynamical systems and has
found extensive applications in the disease auxiliary diagnosis. FTIR spectra is a technique …

How to identify influential nodes in complex networks is an important aspect in the study of
complex network. In this paper, a novel fuzzy local dimension (FLD) is proposed to rank the …

Identification of influential nodes in complex networks is an area of exciting growth since it
can help us to deal with various problems. Furthermore, identifying important nodes can be …

Time series has a wide range of applications in various fields. Recently, a new math tool,
named as visibility graph, is developed to transform the time series into complex networks …

The cluster-growing method has been widely used to measure the fractal dimension of
complex networks. In this method, a seed node is chosen at random and the number of …

Measuring the complexity degree of complex network has been an important issue of
network theory. A number of complexity measures like structure entropy have been …