Wang, Peng Xie, Xiao-Yi Yeung, Chi Ho Wang, Bing-Hong 2011-03-03 In this paper, we study the statistical properties of bookmarking behaviors in Delicious.com. We find that the inter-event time (τ) distributions of bookmarking decay in a power-like manner as τ 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-day 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 τ/left angle bracketτright-pointing angle bracket. Finally, the possible causes of these phenomena are discussed. application/pdf https://folia.unifr.ch/global/documents/301895 https://folia.unifr.ch/documents/301895/files/wan_hsi.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2011.02.026 info:eu-repo/semantics/openAccess License undefined Physica A: Statistical Mechanics and its Applications. - 2011, vol. 390, no. 12, p. 2395-2400 Inter-event time distribution Power law Human dynamics info:eu-repo/classification/udc/53 Heterogenous scaling in the inter-event time of on-line bookmarking http://purl.org/coar/resource_type/c_6501