【摘 要】
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We divide various fat-tailed degree distributions of real-world networks into five classes based on careful examination of experimental data. By taking account
【机 构】
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Department of Physics, Xiangtan University, Xiangtan 411105
论文部分内容阅读
We divide various fat-tailed degree distributions of real-world networks into five classes based on careful examination of experimental data. By taking account of the mechanism of addition and deletion of nodes in the growing network model with and without preferential attachment respectively, we obtain all the five classes of degree distributions, which is believed to shed some light on the dynamics of formation of complex network systems.
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