Literature for detecting web robots focuses mostly on their spatial
navigational patterns in traversing the web.  Web robots, however,
also leave a distinctive signature in the time domain.  This paper
analyzes the statistical distribution of web access timings and
correlates the timings with link placement and file size.  By
comparing the timings from web robots with the timings from humans, it
should be possible to detect the signs of automation.