Flattening and preferential attachment in the internet evolution

Miao Li, Jessie Hui Wang, Jiahai Yang
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引用次数: 2

Abstract

Understanding of the Internet evolution is important for many research topics, such as network planning, optimal routing design, etc. In this paper, we try to analyze CAIDA AS-level topology dataset from 2004 to 2010 to validate two conjectures on the Internet evolution, i.e., the Internet flattening trend and the preferential attachment rule. Our analysis shows that the evolvement of the Internet core is different from the edge of Internet. We classify the Internet into several layers using different layering methods, i.e., Rich Club coefficient based method, k-core decomposition method and SARK hierarchy model, and then study the changes of the features of these layers. Under all of these laying methods, we find that the boundaries between neighboring layers in the Internet core are more and more blurred; ASes in the core distribute more evenly and different layers are closer to each other in size, while the Internet edge still has a distinct hierarchical characteristic. It is more evident in Asia and Europe than North America. The other difference between Internet core and Internet edge is that link births/deaths in the Internet core follow the “Preferential Attachment/de-attachment” rule, while link births/deaths in the Internet edge follow a super linear preferential attachment/de-attachement rule. On the other hand, in both Internet core and Internet edge, link births caused by AS births present stronger preference than link rewiring.
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互联网进化中的扁平化与优先依附
了解互联网的演变对于许多研究课题,如网络规划、最优路由设计等具有重要意义。本文通过对2004 - 2010年CAIDA as级拓扑数据集的分析,验证了两个关于互联网演化的猜想,即互联网的扁平化趋势和优先依恋规则。我们的分析表明,互联网核心与互联网边缘的演进是不同的。采用基于Rich Club系数的分层方法、k-core分解方法和SARK层次模型,将Internet划分为若干层,并研究了各层特征的变化。在所有这些铺设方法下,我们发现互联网核心中相邻层之间的边界越来越模糊;核心的ase分布更均匀,不同层之间的大小更接近,而互联网边缘仍然具有明显的分层特征。这在亚洲和欧洲比北美更为明显。互联网核心与互联网边缘的另一个区别是,互联网核心的链接生成/死亡遵循“优先依附/去依附”规则,而互联网边缘的链接生成/死亡遵循超线性的优先依附/去依附规则。另一方面,在互联网核心和互联网边缘,AS生成导致的链路生成比链路重布线表现出更强的偏好。
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