| 具有无标度特性的港口网络演化模型 |
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| 引用本文： | 王丹,李蓓蕾.具有无标度特性的港口网络演化模型[J].沈阳大学学报,2013(5):379-382,388. |
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| 作者姓名： | 王丹 李蓓蕾 |
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| 作者单位： | 沈阳大学装备制造综合自动化重点实验室,辽宁沈阳110044 |
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| 基金项目： | 国家自然科学基金资助项目（61203152）;辽宁省博士启动基金资助项目（20121040）. |
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| 摘 要： | 针对现实港口网络自身的结构特征,提出一个具有无标度特性的港口网络演化模型.在经典BBV加权网络模型的基础上,通过引进三角连接结构,研究了三角结构的演化机制对无标度模型结构特性的影响.仿真结果表明,该港口网络的度和强度都服从幂率分布.港口网络的平均簇系数与度的函数关系服从幂率分布.仿真结果表明三角结构的演化机制能够显著的提高网络的聚类系数.
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| 关 键 词： | 复杂网络 港口网络 聚类系数 无标度特性 演化模型 |
An Evolving Port Network Model with Scale-free Feature |
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| Wang Dan,Li Beilei.An Evolving Port Network Model with Scale-free Feature[J].Journal of Shenyang University,2013(5):379-382,388. |
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| Authors: | Wang Dan Li Beilei |
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| Institution: | (Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang 110044, China) |
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| Abstract: | A weighted evolving model of scale-free port network is proposed according to the structure characteristics of real port network. Triad formation mechanism is considered in process of evolving based on traditional BBV weighted network. The effect of triad formation on the structure of the evolving scale-free model is investigated. The evolution of degree and strength exhibits the power-law distributions. The average clustering coefficient exhibits power-law decay as a function of degree of node. Triad formation mechanism can distinctly enhance the clustering coefficient of network. |
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| Keywords: | complex networks port networks clustering coefficient scale-free feature evolution model |
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