COMPLEX TEMPORAL STRUCTURE OF ACTIVITY IN ON-LINE ELECTRONIC AUCTIONS

被引:2
|
作者
Slanina, Frantisek [1 ]
机构
[1] Acad Sci Czech Republic, Inst Phys, CZ-18221 Prague, Czech Republic
来源
ADVANCES IN COMPLEX SYSTEMS | 2012年 / 15卷
关键词
Social network; time series; internet; NETWORKS;
D O I
10.1142/S0219525912500531
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We analyze empirical data from the internet auction site Aukro.cz. The time series of activity shows truncated fractal structure on scales from about 1min to about 1 day. The distribution of waiting times as well as the distribution of number of auctions within fixed interval is a power law, with exponents 1.5 and 3, respectively. Possible implications for the modeling of stock-market fluctuations are briefly discussed.
引用
收藏
页数:11
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