文章基本信息

标题：Tracking the dynamic variations in a social network formed through shared interests
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作者：Gerold Pedemonte ; May Lim
期刊名称：Science Diliman
印刷版ISSN：2012-0818
出版年度：2010
卷号：21
期号：1
语种：English
出版社：OVCRD
摘要：We tracked the dynamics of a social network formed by a shared interest in movies. Users-, movie ratings-, and rental date-data from the Netflix Prize dataset were used to construct a series of date-filtered social networks, wherein viewers were linked when they rented the same movie and gave the same rating. We obtained a nearly constant high clustering coefficient (0.60 – 0.85), and a low average path length (1.4 – 2.3) indicating a static 'small-world' network despite the dynamic behavior of the borrowers.
关键词：social network;time series analysis;complex systems;small-world network