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Winners dont take all: Characterizing the competition for linkson the web

机译:赢家不会全力以赴:表征链接竞争在网上

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摘要

As a whole, the World Wide Web displays a striking “rich get richer” behavior, with a relatively small number of sites receiving a disproportionately large share of hyperlink references and traffic. However, hidden in this skewed global distribution, we discover a qualitatively different and considerably less biased link distribution among subcategories of pages—for example, among all university homepages or all newspaper homepages. Although the connectivity distribution over the entire web is close to a pure power law, we find that the distribution within specific categories is typically unimodal on a log scale, with the location of the mode, and thus the extent of the rich get richer phenomenon, varying across different categories. Similar distributions occur in many other naturally occurring networks, including research paper citations, movie actor collaborations, and United States power grid connections. A simple generative model, incorporating a mixture of preferential and uniform attachment, quantifies the degree to which the rich nodes grow richer, and how new (and poorly connected) nodes can compete. The modelaccurately accounts for the true connectivity distributions ofcategory-specific web pages, the web as a whole, and other socialnetworks.
机译:总体而言,万维网显示出惊人的“富人致富”行为,相对较少的站点接收的超链接引用和流量所占比例不成比例。但是,在这种偏斜的全球分布中,我们发现页面的子类别之间(例如,在所有大学首页或所有报纸首页之间)在质量上存在差异,并且链接分配的偏差明显减少。尽管整个网络上的连通性分布接近于纯幂律,但我们发现特定类别内的分布通常是对数尺度上的单峰分布,具有模式的位置,因此,富裕程度变得更富裕,在不同类别中有所不同。类似的分布也发生在许多其他自然发生的网络中,包括研究论文引文,电影演员合作和美国电网连接。一个简单的生成模型,结合了优先和统一的附件,量化了富节点变得越来越富的程度,以及新节点(连接不良的节点)如何竞争。该模型准确地说明了特定类别的网页,整个网络以及其他社交网站网络。

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