期刊文献+

基于k-核解析的Internet路由级拓扑的分形特征 被引量:5

Fractals of Internet Router-Level Topology Based on k-core Decomposition
下载PDF
导出
摘要 通过分析CAIDA Skitter项目授权的海量实测数据,研究了Internet路由级拓扑的分形特征.依据k-核解析的概念将Internet路由级拓扑分成不同的核,通过对各核的度分布、度相关性及聚集性等主要特征量进行分析,发现随着网络由外到内的逐层剪切,不仅度分布,而且聚类性质及相关结构也被保留了下来.这说明Internet路由级拓扑中存在着一种由外向内逐渐趋于网络中心的全局自相似性质,以及根据网络中心性定义的Internet的任意区域都有和整个网络拓扑相同性质的一种结构.Internet路由级拓扑具有分形特征. The fractal features of Internet topology was studied at router level by analyzing the massive data authorized by CAIDA(cooperative association for Internet data analysis) Skitter project.According to the definition of k-core,the Internet topology was divided into different cores at router level.Analyzing the main characteristic quantities such as degree distribution,degree correlations and clustering coefficient of every k-core,it was found that the degree distribution,clustering and correlation structure of Internet topology are all kept on as the network is pruned inwards step by step.The fact implies that there is a global self-similarity at the router level of Internet topology,which is approaching inwards to the center of the network.Furthermore,any region in Internet,which is defined according to the network centrality,has such a structure that its properties are the same to the topology of the whole network.All of these prove that Internet topology has fractal features at router level.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第4期511-514,518,共5页 Journal of Northeastern University(Natural Science)
基金 教育部高等学校科技创新工程重大项目培育基金资助项目(708026) 国家自然科学基金资助项目(60973022)
关键词 复杂网络 分形 自相似 k-核解析 INTERNET拓扑 complex network fractal self-similarity k-core decomposition Internet topology
  • 相关文献

参考文献9

  • 1Alvarez-Hamelin J I, Dall'Asta L, Ban-at A, et al. Large scale networks fingerprinting and visualization using the k-core decomposition [ C ] ff Advances in Neural Information Processing Systems 18. Cambridge: MIT Press, 2006:41 - 50.
  • 2Batagelj V, Zaversnik M. Generalized cores[EB/OL]. [2009 -09 - 03 ]. http: //vlado. fmf. uni-lj. si/pub/preprint/ imfm0799. pdf.
  • 3Bolloba B. Random graphs [ M]. 2nd ed. Cambridge: Cambridge University Press, 2001:447 - 457.
  • 4Seidman S B. Network structure and minimum degree[J]. Social Networks, 1983,5 (3) : 269 - 287.
  • 5Bollobas B. The evolution of sparse graphs [ C ] //Graph Theory and Combinalorics. London: Academic Press, 1984: 35 - 37.
  • 6Alvarez-Hamelin J I, Dall' Asta L, Barrat A, et al. K-core decomposition: a tool for the visualization of large scale networks[ EB/OL ]. [ 2009 - 09 - 03 ]. http: //xavier. informatics. indiana. edu/lanet-vi/k-cores _ A/-/DBV3. pelf.
  • 7Alvarez-Hamelin J I, Dall'Asta L, Barrat A, et al. K-core decomposition of Internet graphs: hierarchies, self-similarity and measurement biases [ J ]. Networks and Heterogeneous Media, 2008,3(2) :371 - 393.
  • 8Pastor-Satorras R, Vazquez A, Vespignani A. Dynamical and correlation properties of the Internet [ J ]. Phys Rev Lett, 2001,87(25) : 1 - 4.
  • 9Watts D J, Strogatz S H. Collective dynamics of small-world networks[ J ]. Nature, 1998,393 (6684) : 440 - 442.

同被引文献44

  • 1王振,王旭智,万旺根.基于运动差值熵的实时人群异常检测[J].电子测量技术,2020(10):119-124. 被引量:3
  • 2冯洁.浅谈大型软件开发中的软件质量管理[J].信息周刊,2019(34):0279-0279. 被引量:1
  • 3孙惠斌,江平宇.基于复杂加权网络的移动协同空间分析[J].西安交通大学学报,2006,40(5):573-576. 被引量:4
  • 4Thorn R. Stability structure at morphogenese [ M ]. New York: Wiley-Interscience, 1972.
  • 5Zeeman E C. Catastrophe theory[J]. Scientific American,1976,234(4):65 - 83.
  • 6Newman M E J. The structure and function of complex networks[J]. SIAMReview, 2003,45:167-256.
  • 7张文波.Intemet宏观拓扑结构的生命特征研究[D].沈阳:东北大学,2005.
  • 8Mahadevan P, Hubble C, Krioukov, D, et al. Orbis: rescaling degree correlations to generate annotated lnternet topologiesIJl. SIC-COMM Cnpu Cnmmun Rev , 2007,37 (4) :325-336.
  • 9Gonen M, in Jellyfish 2841 Ron D, W graphs[J]. einsberg U, et al. Finding a dense-core ComputNetw, 2008,52(15):2831-2841.
  • 10HOU S M, HAN Y M, LIU Y X. Research on Web based collaborative markup system of product model[C]//Proceed- ings of 2008 International Conference on Intelligent Computation Technology and Automation(ICICTA). Washington, D. C. ,USA:IEEE,2008,2:853-857.

引证文献5

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部