Doyle John C, Alderson David L, Li Lun, Low Steven, Roughan Matthew, Shalunov Stanislav, Tanaka Reiko, Willinger Walter
Engineering and Applied Sciences Division, California Institute of Technology, Pasadena, CA 91125, USA.
Proc Natl Acad Sci U S A. 2005 Oct 11;102(41):14497-502. doi: 10.1073/pnas.0501426102. Epub 2005 Oct 4.
The search for unifying properties of complex networks is popular, challenging, and important. For modeling approaches that focus on robustness and fragility as unifying concepts, the Internet is an especially attractive case study, mainly because its applications are ubiquitous and pervasive, and widely available exposition exists at every level of detail. Nevertheless, alternative approaches to modeling the Internet often make extremely different assumptions and derive opposite conclusions about fundamental properties of one and the same system. Fortunately, a detailed understanding of Internet technology combined with a unique ability to measure the network means that these differences can be understood thoroughly and resolved unambiguously. This article aims to make recent results of this process accessible beyond Internet specialists to the broader scientific community and to clarify several sources of basic methodological differences that are relevant beyond either the Internet or the two specific approaches focused on here (i.e., scale-free networks and highly optimized tolerance networks).
寻找复杂网络的统一特性既热门、具有挑战性,又很重要。对于那些将稳健性和脆弱性作为统一概念的建模方法而言,互联网是一个特别有吸引力的案例研究对象,主要是因为其应用无处不在且广泛存在,并且在各个细节层面都有丰富的公开资料。然而,对互联网进行建模的其他方法往往做出截然不同的假设,并就同一个系统的基本特性得出相反的结论。幸运的是,对互联网技术的深入理解以及测量该网络的独特能力意味着这些差异能够得到透彻理解并被明确解决。本文旨在让互联网专家以外的广大科学界也能了解这一过程的最新成果,并阐明一些基本方法差异的根源,这些差异在互联网之外或者本文所关注的两种特定方法(即无标度网络和高度优化容错网络)之外也具有相关性。