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The Synchronizability and Optimized Analysis of the Hierarchical Network

机译:层次网络的同步性与优化分析

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摘要

A large number of research results show that the synchronizability of complex networks is closely related to the topological structure. Some typical complex network models, such as random networks, small-world networks, BA scale-free network, etc, have totally different synchronizability. In this paper, a kind of hierarchical network synchronizability of self-similar module structures was studied, with more focus on the effect of the initial size of the module and network layer to the synchronizability and further research on the problem of network synchronous optimization. The Law of Segmentation Method was employed to reduce the maximum node betweenness and the Law of Parallel Reconnection employed to improve the ability of synchronizability of complex network by reducing the average path length of networks. Meanwhile, the effectiveness of proposed methods was verified through a lot of numerically simulative experiments.
机译:大量研究结果表明,复杂网络的可同步性与拓扑结构密切相关。一些典型的复杂网络模型,例如随机网络,小世界网络,BA无标度网络等,具有完全不同的同步性。本文研究了一种自相似模块结构的分层网络可同步性,重点是模块和网络层的初始大小对可同步性的影响,并进一步研究了网络同步优化问题。采用分段法则来减小最大节点间的间隔,并采用并行重连接法则来通过减小网络的平均路径长度来提高复杂网络的可同步性。同时,通过大量数值模拟实验验证了所提方法的有效性。

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