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动态网络分析中预处理决策和网络力的影响

Measuring the Effects of Preprocessing Decisions and Network Forces in Dynamic Network Analysis
课程网址: http://videolectures.net/kdd09_scripps_mteop/  
主讲教师: Jerry Scripps
开课单位: 大峡谷州立大学
开课时间: 2009-09-14
课程语种: 英语
中文简介:
近年来,社会网络已成为研究的一个主要热点,最初是针对静态网络,但越来越多地针对动态网络。本文研究了不同的预处理决策和不同的网络力(如选择和影响)对动态网络建模的影响。我们还对动态网络分析中的一些建模假设(如一阶马尔可夫假设)进行了实证论证,并开发了度量标准,以测量在使用历史网络数据的不同策略下链接和属性之间的一致性。我们还演示了属性漂移的影响,即单个属性在形成链接中的重要性随时间而变化。
课程简介: Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investigate how different pre-processing decisions and different network forces such as selection and influence affect the modeling of dynamic networks. We also present empirical justification for some of the modeling assumptions made in dynamic network analysis (e.g., first-order Markovian assumption) and develop metrics to measure the alignment between links and attributes under different strategies of using the historical network data. We also demonstrate the effect of attribute drift, that is, the importance of individual attributes in forming links change over time.
关 键 词: 社会网络; 预处理决定; 动态网络建模
课程来源: 视频讲座网
最后编审: 2019-12-04:lxf
阅读次数: 37