联机书签间隔时间的异质尺度
Heterogenous scaling in interevent time of on-line bookmarking
摘要:
在本文中,我们研究了Delicious.com中书签行为的统计特性。我们发现,在个体和群体水平上,书签的间隔时间分布随着间隔时间的增加而呈幂函数衰减。值得注意的是,我们观察到一个显着的变化,指数时,interevent时间增加,从一天内到一天之间的范围。此外,指数对单个活度的依赖性在两个范围内是不同的。这些结果表明,驱动人类行为的机制在一天内和一天之间的范围内是不同的。而不是单调增加的活动,我们发现,日间指数峰值在值3左右。我们进一步表明,不太活跃的用户更有可能在书签类似泊松过程。基于时间偏好模型,对这种依赖性给出了初步的解释。最后,通过考虑重新标度的变量,观察到一个普遍的行为在日间尺度。
英文摘要:
In this paper, we study the statistical properties of bookmarking behaviors in Delicious.com. We find that the interevent time distributions of bookmarking decays powerlike as interevent time increases at both individual and population level. Remarkably, we observe a significant change in the exponent when interevent time increases from intra-day to inter-day range. In addition, dependence of exponent on individual Activity is found to be different in the two ranges. These results suggests that mechanisms driving human actions are different in intra- and inter-day range. Instead of monotonically increasing with Activity, we find that inter-day exponent peaks at value around 3. We further show that less active users are more likely to resemble poisson process in bookmarking. Based on the temporal-preference model, preliminary explanations for this dependence have been given . Finally, a universal behavior in inter-day scale is observed by considering the rescaled variable.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。