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摘要翻译：
我们引入了一个相关的静态模型，并研究了一个渗流转变。该模型是对静态模型的改进，具有分类度-度相关的特点。随着边缘密度的变化，网络经历了一个渗流转变。在整个非渗流相中，团簇平均尺寸具有弱奇异性，团簇序参量和团簇尺寸分布具有幂律标度。这些结果表明，不同程度的相关性产生了一种全局结构相关性，这种相关性与复杂网络的渗流临界现象有关。
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英文标题：
《Percolation transition in correlated static model》
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作者：
Sang-Woo Kim and Jae Dong Noh
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最新提交年份：
2008
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分类信息：
一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
We introduce a correlated static model and investigate a percolation transition. The model is a modification of the static model and is characterized by assortative degree-degree correlation. As one varies the edge density, the network undergoes a percolation transition. The percolation transition is characterized by a weak singular behavior of the mean cluster size and power-law scalings of the percolation order parameter and the cluster size distribution in the entire non-percolating phase. These results suggest that the assortative degree-degree correlation generates a global structural correlation which is relevant to the percolation critical phenomena of complex networks.
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PDF链接：
https://arxiv.org/pdf/802.2644
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