期刊文献+

互补结构网络建模与统计特性分析 被引量:1

Complementary Structure of Network Modeling and Anaysis of Statistical Characteristics
原文传递
导出
摘要 互补结构网络在保留TCP/IP主体结构的基础上,增添一种专门用于传播主流资源的次级结构,即播存结构。在分析了互补结构网络的特点后设计了互补结构网络的生成算法,在计算机上进行了模拟仿真,分析了其统计特性。发现资源端节点集团度分布服从幂律分布(Power_law),客户端节点集团度分布服从泊松分布(Poission)。为互补结构网络的进一步研究与长足发展打下了很好的基础。 Complementary-structure network,based on retaining the main strcture of TCP/IP,is added with a seconday structure,that is,broadcast and memory architecture specifically for the dissemination of mainstream resource.Through study on the characteristics of complementary-architecture network,the generation algorithms of complementary-architecture network is designed.Simulation on computer and analysis on statistical characteristics indicate that the Core_Web_Nodes_Group of resource end obeys the power-law distribution,while the Client_Nodes_Group obeys Poisson distribution.All this lays a good foundation for the complementary-structure network in its futher research and development.
作者 惠彦涛 吴静
出处 《通信技术》 2011年第5期94-96,共3页 Communications Technology
关键词 互补结构网络 播存结构 网络平均距离 聚类系数 complementary-structure network broadcast and memory architecture average distance of the network clustering coefficient
  • 相关文献

参考文献5

二级参考文献11

共引文献11

同被引文献6

  • 1JAEWON Y,LESKOVEC J.Modeling InformationDiffusion in Implicit Networks[C]//IEEE.2010 IEEE10th International Conference on Data Mining.Berlin,Germany:IEEE,2010:599-608.
  • 2GOLDENBERG J,LIBAI B,MOLDOVAN S,et al.The NPV of Bad News[J].International Journal of Researchin Marketing,2007,24(03):186-200.
  • 3LAHIRI M,CEBRIN M.The Genetic Algorithm as aGeneral Diffusion Model for Social Networks[C]//The 24th AAAI Conference on ArtificialIntelligence.Atlanta,Georigia,USA:[s.n.],2010:76-81.
  • 4SAITO K,KIMURA M,OHARA K,et al.LearningContinuous Time Information Diffusion Model forSocial Behavioral Data Analysis[J].Advances inMachine Learning,Springer,2009(5828):322-337.
  • 5HADDADI H,BENEVENUTO F,GUMMADI K P.Measuring UserInfluence in Twitter:The Million FollowerFallacy[C]//Proceedings of International AAAIConference on Weblogs and Social.Washington,DC:ICWSM,2010:97-105.
  • 6BHARATHI S,DAVID K,MAYHAR S.CompetitiveInfluence Maximization in Social Networks Internetand Network Economics[J].Springer,2007(2315):306-311.

引证文献1

二级引证文献33

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