Downloading of contents on mobile devices has been increasing rapidly since the
introduction of mobile communication technologies. The huge traffic load presents a …

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 …

In recent years, because complex networks can be used to model real-world complex
systems, such as the Internet, urban infrastructure networks, and gene interaction networks …

A good knowledge of pollutant time series behavior is fundamental to elaborate strategies
and construct tools to protect human health. In Caribbean area, air quality is frequently …

How to identify influential nodes in complex networks continues to be an open issue. A
number of centrality measures have been presented to address this problem. However …

Identifying influential nodes in complex networks is still an open issue. In this paper, a new
comprehensive centrality measure is proposed based on the Dempster-Shafer evidence …

Recently, self-similarity of complex networks have attracted much attention. Fractal
dimension of complex network is an open issue. Hub repulsion plays an important role in …

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 …

Network resource reallocation is a common way to help restore performance of network
systems subject to cascading failures. Majority of current network resource allocation …

Complex networks are widely used to describe the structure of many complex systems in
nature and society. The box-covering algorithm is widely applied to calculate the fractal …