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Complex networks have attracted increasing attention from various fields of science and engineering today. Due to the finite speeds of transmission and spreading as well as traffic congestions, a signal or influence travelling through a complex network often is associated with time delays, and...
Persistent link: https://www.econbiz.de/10010872026
Many social and biological networks consist of communities–groups of nodes within which links are dense but among which links are sparse. It turns out that most of these networks are best described by weighted networks, whose properties and dynamics depend not only on their structures but also...
Persistent link: https://www.econbiz.de/10010590384
The dynamics of fractional-order systems have attracted increasing attentions in recent years. In this paper, we numerically study the chaotic behaviors in the fractional-order Rössler equations. We found that chaotic behaviors exist in the fractional-order Rössler equation with orders less...
Persistent link: https://www.econbiz.de/10011060447
Small-world networks are highly clustered networks with small average distance among the vertices. There are many natural and technological networks that present this kind of connections. We study the phase synchronization of small-world chaotic oscillator networks in this paper. We find that...
Persistent link: https://www.econbiz.de/10011061414
In this paper, we analyze statistical properties of English and Chinese written human language within the framework of weighted complex networks. The two language networks are based on an English novel and a Chinese biography, respectively, and both of the networks are constructed in the same...
Persistent link: https://www.econbiz.de/10010874627
A delayed differential equation modelling a single neuron with inertial term subject to time delay is considered in this paper. Hopf bifurcation is studied by using the normal form theory of retarded functional differential equations. When adopting a nonmonotonic activation function, chaotic...
Persistent link: https://www.econbiz.de/10009282481
Functional networks are a recently introduced extension of neural networks, which deal with general functional models instead of sigmoidal-like ones. In this paper, we propose complex functional networks, whose inputs, outputs, neural functions and arguments are all complex-valued. The general...
Persistent link: https://www.econbiz.de/10010870588
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