基于指数随机图模型的网络新闻媒体分析

摘要

This paper explore the structure of news reprinting network among online news out- lets based on exponential random graph models. The results show that the relationship among reprinting networks is sparse; and the attractiveness and mutuality are significant; and tradi- tional media among attribute variables has greater influence. The exponential random graph models are novel ways to study Internet news media.%基于网络新闻媒体之间的转载关系构建了新闻转载网络,利用指数随机图模型,分析了新闻转载网络的结构。分析结果显示,新闻转载网络的网络关系稀疏,聚敛性和互惠性的局部结构明显,属性变量中传统媒体影响较大。指数随机图模型为研究网络新闻媒体提供了新的方法。