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arXiv cs/0402011cs.NI
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精确建模互联网拓扑

Accurately modeling the Internet topology

Shi Zhou, Raul J. Mondragon

摘要:

基于测量的互联网拓扑数据,我们发现,有两种机制是必要的正确的建模的互联网拓扑结构在自治系统(AS)的水平:新节点和新的内部链接的交互式增长,和一个非线性的优先附件,其中的偏好概率描述的正反馈机制。基于上述机制,我们引入了正反馈偏好(Positive-Feedback Preference,PFP)模型,该模型精确地再现了AS级互联网的许多拓扑性质,包括:度分布、富俱乐部连通性、最大度、最短路径长度、短圈、区分混合和介数中心性。PFP模型是一种唯象模型,它为研究真实复杂网络的演化动力学提供了新的视角。

英文摘要:

Based on measurements of the Internet topology data, we found out that there are two mechanisms which are necessary for the correct modeling of the Internet topology at the Autonomous Systems (AS) level: the Interactive Growth of new nodes and new internal links, and a nonlinear preferential attachment, where the preference probability is described by a positive-feedback mechanism. Based on the above mechanisms, we introduce the Positive-Feedback Preference (PFP) model which accurately reproduces many topological properties of the AS-level Internet, including: degree distribution, rich-club connectivity, the maximum degree, shortest path length, short cycles, disassortative mixing and betweenness centrality. The PFP model is a phenomenological model which provides a novel insight into the evolutionary dynamics of real complex networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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