In this paper, we present a simple rule which assigns fitness to each edge to generate random pseudofractal networks (RPNs). This RPN model is both scale-free and small-world. We obtain the theoretical results that the power-law exponent is γ=2+1/(1+α) for the tunable parameter α-1, and that...

It has been demonstrated that most complex networks display synchronization phenomena, and this problem has attracted great attention of various fields including science and engineering. In this paper, a generalized complex dynamical network model with time-varying delays was presented....

Motivated by the fact that couplings between individual units of many real-world complex systems are relevant to energy, we propose a power-driven moving agent network model as a simple representation. The presented network exhibits a directed and time-varying topological structure, where each...