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Different Human Behavior Patterns in Web Surfing

Recently, understanding and modeling human behavior have attracted increasing interests. In this paper, we provide some statistical research on human behavior in Web surfing during special stage called Flash Crowd (FC). Approximate entropy is used to find out the FC stage. We quantify behavior patterns by interval time between two consecutive request behaviors. Kolmogorov-Smirnov statistical test is used to estimate the appropriate probability distribution function of interval time. The results show that the request behavior patterns varied in different stages.