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

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. Vie...

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Detalles Bibliográficos
Autores principales: Wang, Xiangwen, Pleimling, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789128/
https://www.ncbi.nlm.nih.gov/pubmed/31604970
http://dx.doi.org/10.1038/s41598-019-50168-2
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author Wang, Xiangwen
Pleimling, Michel
author_facet Wang, Xiangwen
Pleimling, Michel
author_sort Wang, Xiangwen
collection PubMed
description 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.
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spelling pubmed-67891282019-10-17 Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion Wang, Xiangwen Pleimling, Michel Sci Rep Article 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. Nature Publishing Group UK 2019-10-11 /pmc/articles/PMC6789128/ /pubmed/31604970 http://dx.doi.org/10.1038/s41598-019-50168-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Xiangwen
Pleimling, Michel
Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title_full Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title_fullStr Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title_full_unstemmed Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title_short Online Gambling of Pure Chance: Wager Distribution, Risk Attitude, and Anomalous Diffusion
title_sort online gambling of pure chance: wager distribution, risk attitude, and anomalous diffusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789128/
https://www.ncbi.nlm.nih.gov/pubmed/31604970
http://dx.doi.org/10.1038/s41598-019-50168-2
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