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Synchronizability of Highly Clustered Scale-Free Networks 被引量:11
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作者 吴翔 汪秉宏 +3 位作者 周涛 王文旭 赵明 杨会杰 《Chinese Physics Letters》 SCIE CAS CSCD 2006年第4期1046-1049,共4页
We consider the effect of clustering coefficient on the synchronizability of coupled oscillators located on scale-free networks. The analytic result for the value of clustering coefficient aiming at a highly clustered... We consider the effect of clustering coefficient on the synchronizability of coupled oscillators located on scale-free networks. The analytic result for the value of clustering coefficient aiming at a highly clustered scale-free network model, the Holme-Kim model is obtained, and the relationship between network synchronizability and clustering coefficient is reported. The simulation results strongly suggest that the more clustered the network, the poorer the synchronizability. 展开更多
关键词 SMALL-WORLD networkS us flight network
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Multistage Random Growing Small-World Networks with Power-Law Degree Distribution 被引量:5
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作者 刘建国 党延忠 王众托 《Chinese Physics Letters》 SCIE CAS CSCD 2006年第3期746-749,共4页
We present a simple rule which could generate scale-free networks with very large clustering coefficient and very small average distance. These networks, called the multistage random growing networks (MRGNs), are co... We present a simple rule which could generate scale-free networks with very large clustering coefficient and very small average distance. These networks, called the multistage random growing networks (MRGNs), are constructed by a two-stage adding process for each new node. The analytic results of the power-law exponent = 3 and the clustering coefficient C = 0.81 are obtained, which agree with the simulation results approximately. In addition, we find that the average distance of the networks increases logarithmically with the network size, which is consistent with the theoretical predictions. Since many real-world networks are both scale-free and small-world, the MRGNs may perform well in mimicking reality. 展开更多
关键词 SCALE-FREE networkS us flight network COMPLEX networkS DYNAMICS OPTIMIZATION ROBusTNESS MODEL
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