媒体网络的演变
Evolution of the Media Web
摘要：
我们提出了一个详细的研究部分的网络相关的媒体内容，即，媒体网站。使用公开的数据，我们分析了媒体页面的传入和传出链接的演变。根据我们的观察，我们提出了一类新的模型，用于在Web上出现新媒体内容，其中节点可以具有不同的\textit{attractiveness}函数，包括取自众所周知的优先附着和适应度模型的函数。我们分析这些模型的理论和经验，并显示哪些现实预测传入的程度分布和所谓的媒体网络的\textit{recency property}，现有的模型没有做好。最后，我们通过估计每个模型的数据集的真实世界链接图的可能性来比较这些模型，并获得我们引入的模型比以前提出的模型更有可能。最令人惊讶的结果之一是，在媒体网络中，一篇文章被引用的概率很可能是由其质量而不是其当前的受欢迎程度决定的。
英文摘要：
We present a detailed study of the part of the Web related to media content, i.e., the Media Web. Using publicly available data, we analyze the evolution of incoming and outgoing links from and to media pages. Based on our observations, we propose a new class of models for the appearance of new media content on the Web where different \textit{attractiveness} functions of nodes are possible including ones taken from well-known preferential attachment and fitness models. We analyze these models theoretically and empirically and show which ones realistically predict both the incoming degree distribution and the so-called \textit{recency property} of the Media Web, something that existing models did not do well. Finally we compare these models by estimating the likelihood of the real-world link graph from our data set given each model and obtain that models we introduce are significantly more likely than previously proposed ones. One of the most surprising results is that in the Media Web the probability for a post to be cited is determined, most likely, by its quality rather than by its current popularity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
