Random Walks on the World Wide Web

T. Silvestri
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引用次数: 2

Abstract

This article presents RandomWalkWeb, a package developed to perform random walks on the World Wide Web and to visualize the resulting data. Building upon the packageʼs functionality, we collected empirical network data consisting of 35,616 unique URLs (approximately 133,500 steps). An analysis was performed at the domain level and several properties of the web were measured. In particular, we estimated the power-law exponent g for the inand out-degree distributions, and obtained values of 2.10± 0.09 and 2.36± 0.1, respectively. These values were found to be in good agreement with previously published results.
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万维网上的随机漫步
本文介绍了RandomWalkWeb,这是一个开发用于在万维网上执行随机漫步并将结果数据可视化的包。基于包的功能,我们收集了由35,616个唯一url(大约133,500个步骤)组成的经验网络数据。在领域层面上进行了分析,并测量了网络的几个特性。特别地,我们估计了进出度分布的幂律指数g,分别为2.10±0.09和2.36±0.1。这些值被发现与先前发表的结果非常一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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