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

页码：37 / 43

页数：7

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