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大网络动力学

Dynamics of Large Networks
课程网址: http://videolectures.net/kdd09_leskovec_dln/  
主讲教师: Jure Leskovec
开课单位: 斯坦福大学
开课时间: 2009-09-14
课程语种: 英语
中文简介:
网络和网络空间的出现引发了人类社会活动的详细痕迹。这为分析和模拟数百万人的行为提供了很好的机会。例如,我们检查了包含2.4亿人的完整Microsoft Instant Messenger网络的“行星规模”动态,每月更换超过255亿条消息,这使其成为迄今为止分析的最大社交网络。\概述我过去对大型世界网络动态的两个方面的研究:网络中信息扩散和加速行为的动态,以及时间演化网络结构的动态。我将讨论复杂网络上的实证研究结果如何推动理论模型的进展,以及如何更好的模型推动了算法和应用的进步。最后,我将概述未来研究和整个领域的有趣方向。
课程简介: Emergence of the web and cyberspace gave rise to detailed traces of human social activity. This offers great opportunities to analyze and model behaviors of millions of people. For example, we examined ''planetary scale'' dynamics of a full Microsoft Instant Messenger network that contains 240 million people, with more than 255 billion exchanged messages per month, which makes it the largest social network analyzed to date.\\ In this talk I will outline my past research on two aspects of the dynamics of large real-world networks: dynamics of information diffusion and cascading behavior in networks, and dynamics of the structure of time evolving networks. I will discuss how empirical findings on complex networks drive progress on theoretical models, and how better models drive advances in algorithms and applications. Last, I will outline interesting directions for future research and the field as a whole.
关 键 词: 网络空间; 社交网络; 信息扩散
课程来源: 视频讲座网
最后编审: 2019-05-10:lxf
阅读次数: 27