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Collaborative discovering influences of news in social network sites

机译:协同发现新闻对社交网站的影响

摘要

In many cases, news articles are shared in Online Social Network (OSN) sites by their members. Disparate kinds of information are often propagated from the news media to the online social networks. Little efforts were devoted to measure or estimate the social influences of news media on the online social networks when compared to the identifications of their connectivity. In this paper, we took references on measurements of social influences among individuals in online social network and derived absolute, relative and combined measurements in order to deduce the social influences of single news article. Those measurements can be extended to a set of news articles and a social medium hence they can be used to evaluate and compare the social influences of the numerous news media. Experiments to compare the performances of the proposed measurements will also be demonstrated and discussed.
机译:在许多情况下,新闻文章由其成员在在线社交网络(OSN)站点中共享。各种各样的信息通常从新闻媒体传播到在线社交网络。与确定新闻媒体的连通性相比,很少有努力来衡量或估计新闻媒体对在线社交网络的社会影响。在本文中,我们参考了在线社交网络中个体之间的社会影响的度量,并得出了绝对,相对和组合的度量,以推断单篇新闻文章的社会影响。这些度量可以扩展到一组新闻文章和社交媒体,因此可以用于评估和比较众多新闻媒体的社会影响。比较提议的测量性能的实验也将得到演示和讨论。

著录项

  • 作者

    Li HL; Ng VTY; Shiu SCK;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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