Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion

被引：3

作者：

Wang, Xiangwen ^{[1
,2
]}

Pleimling, Michel ^{[1
,2
,3
]}

机构：

[1] Virginia Tech, Dept Phys, Blacksburg, VA 24061 USA

[2] Virginia Tech, Ctr Soft Matter & Biol Phys, Blacksburg, VA 24061 USA

[3] Virginia Tech, Acad Integrated Sci, Blacksburg, VA 24061 USA

来源：

SCIENTIFIC REPORTS | 2019年 / 9卷 / 1期

基金：

美国国家科学基金会;

关键词：

POWER-LAW DISTRIBUTIONS; PROSPECT-THEORY;

D O I：

10.1038/s41598-019-50168-2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Online gambling sites offer many different gambling games. In this work we analyse the gambling logs of numerous solely probability-based gambling games and extract the wager and odds distributions. We find that the log-normal distribution describes the wager distribution at the aggregate level. Viewing the gamblers' net incomes as random walks, we study the mean-squared displacement of net income and related quantities and find different diffusive behaviors for different games. We discuss possible origins for the observed anomalous diffusion.

引用

页数：17