人脉很广的小世界

Xiaolin Shi, Matthew Bonner, Lada A. Adamic, A. Gilbert
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引用次数: 34

摘要

在线网络在我们获取信息、相互交流和传播信息的方式中占据越来越大的地位。通常,小的顶点集支配着这些网络的各种图形和统计特性,正因为如此,它们与结构分析、高效算法和工程相关。对于整个网络,特别是博客和即时消息中的社交链接,我们对大型在线网络中特殊顶点子集的属性、构造和利用进行了原则性的、严格的研究。我们表明,由顶点的重要性定义的图概要提供了较小的,相对准确的肖像,独立于重要性度量,较大的底层图和重要顶点。此外,它们可以相对高效地计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The very small world of the well-connected
Online networks occupy an increasingly larger position in how we acquire information, how we communicate with one another, and how we disseminate information. Frequently, small sets of vertices dominate various graph and statistical properties of these networks and, because of this, they are relevant for structural analysis and efficient algorithms and engineering. For the web overall, and specifically for social linking in blogs and instant messaging, we provide a principled, rigorous study of the properties, the construction, and the utilization of subsets of special vertices in large online networks. We show that graph synopses defined by the importance of vertices provide small, relatively accurate portraits, independent of the importance measure, of the larger underlying graphs and of the important vertices. Furthermore, they can be computed relatively efficiently.
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