Abstract
Characteristics of online auctions in E-commerce are very critical for the system design in modern Internet E-Business. This study collected data traces in a famous commercial auction site. The collected data traces are examined by statistics and time correlations. Furthermore, more sophistical inspections, such as Hurst parameter and long-range dependence, are performed to probe the characteristics of the data traces. We found that brand name handbags and smart phones have a strong degree of self-similarity. The results are useful to further study the possible reasons for the presented self-similarity.
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