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信息在网络中流动的节奏

Rhythms of Information Flow through Networks
课程网址: http://videolectures.net/eswc2011_leskovec_flow/  
主讲教师: Jure Leskovec, Elena Simperl
开课单位: 南安普顿大学
开课时间: 2011-07-07
课程语种: 英语
中文简介:
我们在线体验的信息随着时间的推移不断传递给我们,汇集了许多小块,并通过我们的社交网络传达。随着时间的推移,信息,网络结构和流量的这种融合需要新的方法来推理信息网络的大规模行为。我将讨论一套跟踪信息的方法,因为它在在线网络中传播和变异。我们将展示如何在日常时间范围内捕捉和模拟新闻中的时间模式,特别是演变并争夺注意力的故事情节的连续性。我还将讨论模型,以量化个别媒体网站对新闻故事的流行度和推断潜在信息传播网络的算法的影响。
课程简介: The information we experience online comes to us continuously over time, assembled from many small pieces, and conveyed through our social networks. This merging of information, network structure, and flow over time requires new ways of reasoning about the large-scale behavior of information networks. I will discuss a set of approaches for tracking information as it travels and mutates in online networks. We show how to capture and model temporal patterns in the news over a daily time-scale -- in particular, the succession of story lines that evolve and compete for attention. I will also discuss models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring latent information diffusion networks.
关 键 词: 在线体验; 社交网络; 网络结构
课程来源: 视频讲座网
最后编审: 2023-03-16:liyy
阅读次数: 67