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影响网络的内容与因果关系

Content and Causality in Influence Networks
课程网址: http://videolectures.net/icwsm2011_aral_influence/  
主讲教师: Sinan Aral
开课单位: 纽约大学
开课时间: 2011-08-18
课程语种: 英语
中文简介:
我们中的许多人都对“网络是否重要”感兴趣。无论是疾病的传播,信息的传播,行为传染的传播,病毒式营销的有效性,还是各种环境中同伴效应的严重程度,在我们能够理解网络是否重要之前,必须回答两个关键问题: 1)流经网络的内容如何影响我们在节点间看到的结果模式; 2)我们观察到的统计关系是否可以因果关系解释。 Aral将审查我们所知道的以及在网络中的内容和因果关系方面的研究。他将提供每个领域的两个例子来构建讨论:一个来自电子邮件网络的分析和在中型高管招聘公司流经它们的信息内容,另一个来自一个流行的社交网站上的随机现场实验。测试“病毒产品设计”策略在9,687名实验用户的140万朋友中创造同伴影响和社会传染的有效性。
课程简介: Many of us are interested in whether "networks matter." Whether in the spread of disease, the diffusion of information, the propagation of behavioral contagions, the effectiveness of viral marketing, or the magnitude of peer effects in a variety of settings, two key questions must be answered before we can understand whether networks matter: 1) how the content that flows through networks affects the patterns of outcomes we see across nodes and 2) whether the statistical relationships we observe can be interpreted causally. Aral will review what we know and where research might go with respect to content and causality in networks. He will provide two examples from each area to structure the discussion: One from an analysis of email networks and the information content that flows through them at a mid-sized executive recruiting firm and the other from a randomized field experiment on a popular social networking website that tests the effectiveness of "viral product design" strategies in creating peer influence and social contagion among the 1.4 million friends of 9,687 experimental users.
关 键 词: 病毒式营销; 电子邮件网络; 社交网站
课程来源: 视频讲座网
最后编审: 2019-04-26:lxf
阅读次数: 30