图 书 馆
网络向社区的反褶积Deconvolution of Networks into Communities |
|
| 课程网址: | http://videolectures.net/kdd2013_leskovec_online_communities/ |
| 主讲教师: | Jure Leskovec |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2013-09-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Activity of millions of humans on the Web leaves massive digital traces, that can be naturally represented and analyzed as complex dynamic networks of human interactions. Today the Web is a 'sensor' that captures the pulse of humanity and allows us to observe phenomena that were once essentially invisible to us: the social interactions and collective behavior of hundreds of millions of people. In this talk we discuss how large-scale data analytics can be applied to model user behavior in online networks and to inform the design of future online computing applications: How will a community or a social network evolve in the future? How friends in the network shape one's opinions? How can we create incentives to influence the evolution of an online community? We discuss algorithmic methods that scale to massive networks and mathematical models that seek to abstract some of the underlying phenomena. |
| 关 键 词: | 数字痕迹; 应用程序; 算法方法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-10：chenjy |
| 最后编审: | 2022-11-10：chenjy |
| 阅读次数: | 29 |