Physics – Physics and Society
Scientific paper
2009-03-17
Phys. Rev. E 80, 026118 (2009)
Physics
Physics and Society
10 pages, 9 figures. Final version accepted for publication in Physical Review E
Scientific paper
10.1103/PhysRevE.80.026118
The recent information technology revolution has enabled the analysis and processing of large-scale datasets describing human activities. The main source of data is represented by the Web, where humans generally use to spend a relevant part of their day. Here we study three large datasets containing the information about Web human activities in different contexts. We study in details inter-event and waiting time statistics. In both cases, the number of subsequent operations which differ by tau units of time decays power-like as tau increases. We use non-parametric statistical tests in order to estimate the significance level of reliability of global distributions to describe activity patterns of single users. Global inter-event time probability distributions are not representative for the behavior of single users: the shape of single users'inter-event distributions is strongly influenced by the total number of operations performed by the users and distributions of the total number of operations performed by users are heterogeneous. A universal behavior can be anyway found by suppressing the intrinsic dependence of the global probability distribution on the activity of the users. This suppression can be performed by simply dividing the inter-event times with their average values. Differently, waiting time probability distributions seem to be independent of the activity of users and global probability distributions are able to significantly represent the replying activity patterns of single users.
No associations
LandOfFree
Human Activity in the Web does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Human Activity in the Web, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Human Activity in the Web will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-491788