图 书 馆
信息传染：digg和twitter社交网络新闻传播的实证研究Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks |
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| 课程网址: | http://videolectures.net/icwsm2010_lerman_ice/ |
| 主讲教师: | Kristina Lerman |
| 开课单位: | 南加利福尼亚大学 |
| 开课时间: | 2010-06-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous, and also given researchers access to massive quantities of data for empirical analysis. These data sets offer a rich source of evidence for studying dynamics of individual and group behavior, the structure of networks and global patterns of the flow of information on them. However, in most previous studies, the structure of the underlying networks was not directly visible but had to be inferred from the flow of information from one individual to another. As a result, we do not yet understand dynamics of information spread on networks or how the structure of the network affects it. We address this gap by analyzing data from two popular social news sites. Specifically, we extract social networks of active users on Digg and Twitter, and track how interest in news stories spreads among them. We show that social networks play a crucial role in the spread of information on these sites, and that network structure affects dynamics of information flow. |
| 关 键 词: | 社交网络; 网络结构; 信息流 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-26：lxf |
| 阅读次数: | 58 |