The fractal and self-similarity properties are revealed in many complex networks. The
classical information dimension is an important method to study fractal and self-similarity …

The fractal and self-similarity are important properties in complex networks. Information
dimension is a useful dimension for complex networks to reveal these properties. In this …

The fractal and self-similarity properties are investigated in many real complex networks.
The volume dimension method is an effective tool to measure the fractal property of complex …

The multifractality property of many complex networks have been investigated. However,
existing researches mainly revealed the multifractality of unweighted networks. In this paper …

Complex networks are widely used to model the structure of many complex systems in
nature and society. Recently, fractal and self-similarity of complex networks have attracted …

Box-covering algorithm is a widely used method to measure the fractal dimension of
complex networks. Existing researches mainly deal with the fractal dimension of unweighted …

Minimum box-covering method is a basic tool to measure fractal dimension of a network but
unfortunately belongs to a family of N P-hard problems. Finding more accurate …

The fractality and self-similarity of complex networks have been widely investigated by
evaluating the fractal dimension, the crux of which is how to locate the optimal solution or …

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 …

Self-similarity of complex networks has been discovered and attracted much attention.
However, the self-similarity of complex networks was measured by the classical distance of …