Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2010-09-11
Phys. Rev. E 83, 056204 (2011)
Nonlinear Sciences
Chaotic Dynamics
15 pages, 7 figures, to appear in Phys. Rev. E
Scientific paper
10.1103/PhysRevE.83.056204
Oscillatory dynamics of complex networks has recently attracted great attention. In this paper we study pattern formation in oscillatory complex networks consisting of excitable nodes. We find that there exist a few center nodes and small skeletons for most oscillations. Complicated and seemingly random oscillatory patterns can be viewed as well-organized target waves propagating from center nodes along the shortest paths, and the shortest loops passing through both the center nodes and their driver nodes play the role of oscillation sources. Analyzing simple skeletons we are able to understand and predict various essential properties of the oscillations and effectively modulate the oscillations. These methods and results will give insights into pattern formation in complex networks, and provide suggestive ideas for studying and controlling oscillations in neural networks.
Gang Hu
Lisheng Zhang
Qinzhi Xia
Xuhong Liao
Yu Qian
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