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In this paper, we study the statistical properties of bookmarking behaviorsin Delicious.com. We find that the interevent time distributions of bookmarkingdecays powerlike as interevent time increases at both individual and populationlevel. Remarkably, we observe a significant change in the exponent wheninterevent time increases from intra-day to inter-day range. In addition,dependence of exponent on individual Activity is found to be different in thetwo ranges. These results suggests that mechanisms driving human actions aredifferent in intra- and inter-day range. Instead of monotonically increasingwith Activity, we find that inter-day exponent peaks at value around 3. Wefurther show that less active users are more likely to resemble poisson processin bookmarking. Based on the temporal-preference model, preliminaryexplanations for this dependence have been given . Finally, a universalbehavior in inter-day scale is observed by considering the rescaled variable.

Heterogenous scaling in interevent time of on-line bookmarking