| 一种新的网络拓扑建模方法 |
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| 引用本文： | 张燕平,李东亮,赵姝,郑尧军. 一种新的网络拓扑建模方法[J]. 计算机工程与应用, 2010, 46(22): 113-116. DOI: 10.3778/j.issn.1002-8331.2010.22.034 |
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| 作者姓名： | 张燕平 李东亮 赵姝 郑尧军 |
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| 作者单位： | 1.安徽大学 智能计算与信号处理教育部重点实验室，合肥 230039 2.大唐贵州发电有限公司，贵阳 550002 |
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| 基金项目： | 国家重点基础研究发展规划(973)，国家自然科学基金，安徽大学211工程学术创新团队，安徽大学人才队伍建设经费资助 |
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| 摘 要： | 网络拓扑结构能够很好地解决服从某种规律的网络传播行为问题，所以针对不同的预测和改善网络性能的目的，建立合适的网络拓扑模型是非常重要的。从复杂网络拓扑建模的角度出发，综合考虑了节点和链接的加入与消亡、节点的孤立、网络内新增的内部连接以及局域网内部的偏好连接等因素，提出了一个新的网络拓扑建模的方法NBSFN（New Base Scale Free Network）。运用Java和Matlab工具对结果进行了仿真研究，发现仿真结果能够很好地刻画出无标度、小世界等诸多特性。
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| 关 键 词： | 互联网 无标度 幂率分布 自治系统 拓扑结构 网络仿真 复杂网络建模 |
| 收稿时间： | 2009-03-09 |
| 修稿时间： | 2009-5-4 |
New modeling method on network topology |
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| ZHANG Yan-ping,LI Dong-liang,ZHAO Shu,ZHENG Yao-jun. New modeling method on network topology[J]. Computer Engineering and Applications, 2010, 46(22): 113-116. DOI: 10.3778/j.issn.1002-8331.2010.22.034 |
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| Authors: | ZHANG Yan-ping LI Dong-liang ZHAO Shu ZHENG Yao-jun |
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| Affiliation: | 1.MOE Key Lab of Intelligent Computing & Signal Processing，Anhui University，Hefei 230039，China 2.Datang Generating Corporation in Guizhou，Guiyang 550002，China |
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| Abstract: | Network topology is very helpful for solving many problems which obey some rule about propagation behaviors on Internet, such as the spread of virus in computers, the prevalence of epidemic among people and the diffusion of rumor. So aiming at predicting and improving the performance of Internet,modeling suitable network topology is very important.Con- sidering network topology as well as synthesized considering of adding new nodes and links,removing old nodes and links, nodal isolation,new internal links addition between existing networks, and preferential connects in Jocal world, a new model- ing method NBSFN（New Base Scale Free Network） on network topology is proposed.Java and Matlab are used to study the simulation results.The simulation results represent many topology specialities, such as scale-free, small-world and so on. |
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| Keywords: | Internet scale-free power-law distributing autonomous system topology structure network simulation complex network modeling |
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