Tracking the dynamic variations in a social network formed through shared interests

被引：0
|
作者：
Pedemonte, Gerold [1 ]
Lim, May [1 ]
机构：
[1] Univ Philippines, Natl Inst Phys, Quezon City 1101, Philippines
来源：
SCIENCE DILIMAN | 2009年 / 21卷 / 01期
关键词：
networks; time series analysis; complex systems; small-world network;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
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.
引用
收藏
页码：37 / 43
页数：7
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