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理解和管理大型图上的级联
Understanding and Managing Cascades on Large Graphs |
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| 课程网址: |
http://videolectures.net/ecmlpkdd2012_prakash_large_graphs/
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| 主讲教师: |
B. Aditya Prakash
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| 开课单位: |
尼亚理工学院
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| 开课时间: |
2012-10-29
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| 课程语种: |
英语
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| 中文简介: |
传染病是如何在人群网络中传播的?为了使产品渗透最大化，我们应该向哪个群体进行市场营销?一个特定的YouTube视频会走红吗?谁是最适合接种疫苗的人?当两种产品竞争时会发生什么?本教程的目标是提供最重要的理论结果和算法的直观和简洁的概述，以帮助我们理解和操作大型网络上的这种传播风格的过程。本教程将包含三个部分:(a)基本模型行为的理论结果;(b)改变这些进程行为的可伸缩算法，例如免疫、销售等;(c)博客和Twitter等在线网站传播的实证研究。最后总结了今后的研究方向。我们关注的问题在令人惊讶的不同领域都是核心问题:从计算机科学和工程学、流行病学和公共卫生、产品营销到信息传播。我们的重点是每个主题背后的直觉，以及从业者的指南。
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| 课程简介: |
How do contagions spread in population networks? Which group should we market to, for maximizing product penetration? Will a given YouTube video go viral? Who are the best people to vaccinate? What happens when two products compete? The objective of this tutorial is to provide an intuitive and concise overview of most important theoretical results and algorithms to help us understand and manipulate such propagation-style processes on large networks. The tutorial will contain three parts: (a) Theoretical results on the behavior of fundamental models; (b) Scalable Algorithms for changing the behavior of these processes e.g., for immunization, marketing etc.; and (c) Empirical Studies of diffusion on blogs and on-line websites like Twitter. We finally conclude with future research directions. The problems we focus on are central in surprisingly diverse areas: from computer science and engineering, epidemiology and public health, product marketing to information dissemination. Our emphasis is on intuition behind each topic, and guidelines for the practitioner.
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| 关 键 词: |
计算机科学; 互联网; 信息传播; 核心算法; 数据分析
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| 课程来源: |
视频讲座网公开课
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| 最后编审: |
2019-05-26：cwx
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| 阅读次数: |
37
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