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“谎言,该死的谎言和统计数字”:互联网的偏好随机型网络模型进行严格评估

'Lies, Damn Lies, and Statistics': A Critical Assessment of Preferential Attachment-type Network Models of the Internet
课程网址: http://videolectures.net/eccs07_willinger_ldl/  
主讲教师: Walter Willinger
开课单位: AT&T实验室公司
开课时间: 2007-11-22
课程语种: 英语
中文简介:
基本问题: 可用的互联网相关连接测量及其分析是否支持现有复杂网络文献中的声明类型? 关键问题: 数据卫生如何?那统计严谨性呢?模型验证呢? 作者讨论了与测量、推断和建模各种类型的互联网相关连接结构相关的一些主要问题和挑战。为此, 他使用一些已知的例子来说明需要了解获得互联网连接测量的过程, 探讨推断图形属性对数据中已知模糊性的敏感性, 在这方面更加关键以占主导地位的、优先的附件型网络建模范式为基础, 在模型验证方面更加雄心勃勃。忽视这些问题中的任何一个, 必然会产生最好的结果, 这些结果最好用众所周知的格言来描述 "谎言、该死的谎言和统计。
课程简介: Basic Question: Do the available Internet-related connectivity measurements and their analysis support the sort of claims that can be found in the existing complex networks literature? Key Issues: What about data hygiene? What about statistical rigor? What about model validation? Author discusses some of the main problems and challenges associated with measuring, inferring, and modeling various types of Internet-related connectivity structures. To this end, he uses some known examples to illustrate the need to understand the process by which Internet connectivity measurements are obtained, explore the sensitivity of inferred graph properties to known ambiguities in the data, be more critical with respect to the dominant, preferential attachmenttype network modeling paradigm, and be more serious/ambitious when it comes to model validation. Ignoring any of these issues is bound to produce results that are best described by the well-known aphorism "lies, damned lies, and statistics."
关 键 词: 计算机科学; Web挖掘; 网络分析; 图论
课程来源: 视频讲座网
最后编审: 2020-06-24:yumf
阅读次数: 59