文化基因跟踪,扩散,和流量的在线信息Meme-tracking, Diffusion, and the Flow of On-Line Information |
|
课程网址: | http://videolectures.net/icwsm09_kleinberg_mtdfoi/ |
主讲教师: | Jon Kleinberg |
开课单位: | 康奈尔大学 |
开课时间: | 2009-06-24 |
课程语种: | 英语 |
中文简介: | 新闻、讨论和意见通过一组重叠的在线网络传播,包括电子邮件、博客和其他形式的通信。我们讨论了一组跟踪文本在这些网络中移动和变化时的方法,将这些思想应用到一组相关问题中。首先,我们展示了这种类型的分析如何在每日的时间尺度上捕捉新闻中的时间模式——特别是,不断演变、争夺关注并共同产生评论人称之为“新闻周期”的效应的故事线的连续性。其次,我们展示了这种方法如何与网络分析相结合。工作结构追踪特定信息在全球范围内在人与人之间传播时的传播情况。这次谈话包括与拉尔斯·backstrom、Jure Leskovec和David Liben Nowell的联合工作。 |
课程简介: | News, discussion, and opinions travel through an overlapping set of on-line networks, involving e-mail, blogging, and other forms of communication. We discuss a set of approaches for tracking pieces of text as they travel and mutate in these networks, applying these ideas to a set of related problems. First, we show how this type of analysis can capture temporal patterns in the news over a daily time-scale --- in particular, the succession of story lines that evolve, compete for attention, and collectively produces an effect that commentators refer to as the 'news cycle.' Second, we show how this approach can be combined with an analysis of network structure to trace the diffusion of specific pieces of information as they spread between people at a global scale. This talk includes joint work with Lars Backstrom, Jure Leskovec, and David Liben-Nowell. |
关 键 词: | 时间尺度; 新闻采集; 网络结构分析; 信息扩散 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-08:heyf |
阅读次数: | 57 |