复杂网络拓扑特性对谱粗粒度网络效果的影响

Lang Zeng, Zhen Jia, Yingying Wang
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引用次数: 0

摘要

近年来,人们提出了一些基于网络同步的粗粒度方法来减小网络规模,同时保持原有网络的同步性。本文研究了在不同平均路径长度和不同分布程度下,粗粒化过程对复杂网络同步性的影响。大量实验表明,平均路径长度、度分布的异质性与谱粗粒度方案保持网络同步性的能力密切相关。我们发现,当考虑的网络具有较长的平均路径长度或较大的方差时,谱粗粒度网络可以很好地保持同步性。
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Influence of Topological Properties of Complex Networks on the Effect of Spectral Coarse-Grained Network
Recently, some coarse-graining methods based on network synchronization have been proposed to reduce the network size while preserving the synchronizability of the original network. In this paper, we investigate the effects of the coarse graining process on synchronizability over complex networks under different average path lengths and different degrees of distribution. A large amount of experiments demonstrate a close correlation between the average path length, the heterogeneity of the degree distribution and the ability of spectral coarse-grained scheme in preserving the network synchronizability. We find that synchronizability can be well preserved in spectral coarse-grained networks when the considered networks have a longer average path length or a larger degree of variance.
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