Long-term memories in online users' selecting activities

被引:22
作者
Pan, Xue [1 ]
Hou, Lei [1 ]
Stephen, Mutua [1 ,2 ]
Yang, Huijie [1 ]
机构
[1] Shanghai Univ Sci & Technol, Sch Business, Shanghai 200093, Peoples R China
[2] Masinde Muliro Univ Sci & Technol, Dept Comp Sci, Kakamega, Kenya
基金
美国国家科学基金会;
关键词
HEAVY TAILS; INTERVALS; MOBILITY;
D O I
10.1016/j.physleta.2014.07.012
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, we investigate the long-term memory effect in the behavior of online users. Two user-oriented online movie systems are used in this study. Due to the short length of the series, the balanced estimation of diffusion entropy approach is used to evaluate scaling-invariance in selecting activities of users in the two online movie systems. Our results indicate that persistence (long-term memory) exists widely in the movie selecting series. However, there is generally significant difference between a user's objective and subjective behaviors. Additionally, statistically, the long-term memory depends on activity levels, as results show that the much more active a users' group, the stronger the long-term memory will be. These findings provide a new criterion for constructing reasonable models, and can help understand how individuals' behaviors form a collective behavior of an online society. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:2591 / 2596
页数:6
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