Heterogenous scaling in the inter-event time of on-line bookmarking

被引:19
|
作者
Wang, Peng [1 ,2 ]
Xie, Xiao-Yi [1 ]
Yeung, Chi Ho [2 ]
Wang, Bing-Hong [1 ,3 ,4 ]
机构
[1] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China
[2] Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland
[3] Univ Shanghai Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China
[4] Shanghai Acad Syst Sci, Shanghai 200093, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
Inter-event time distribution; Power law; Human dynamics; HEAVY TAILS; MEMORY;
D O I
10.1016/j.physa.2011.02.026
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, we study the statistical properties of bookmarking behaviors in Delicious.com. We find that the inter-event time (tau) distributions of bookmarking decay in a power-like manner as tau increases at both individual and population levels. Remarkably, we observe a significant change in the exponent when the inter-event time increases from the intra-day range to the inter-day range. In addition, the dependence of the exponent on individual activity is found to be different in the two ranges. Instead of monotonically increasing with activity, the inter-day exponent peaks around 3. These results suggest that the mechanisms driving human actions are different in the intra-day and inter-clay ranges. We further show that the global distributions of less active users are closer to an exponential distribution than those of more active users. Moreover, a universal behavior in the inter-day range is observed by considering the rescaled variable tau/<tau >. Finally, the possible causes of these phenomena are discussed. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:2395 / 2400
页数:6
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