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• W2827655876 abstract "From the gambling logs of an online lottery game we extract the probability distribution of various quantities (e.g., bet value, total pool size, waiting time between successive gambles) as well as related correlation coefficients. We view the net change of income of each player as a random walk. The mean squared displacement of these net income random walks exhibits a transition between a super-diffusive and a normal diffusive regime. We discuss different random walk models with truncated power-law step lengths distributions that allow to reproduce some of the properties extracted from the gambling logs. Analyzing the mean squared displacement and the first-passage time distribution for these models allows to identify the key features needed for observing this crossover from super-diffusion to normal diffusion." @default.
• W2827655876 created "2018-07-19" @default.
• W2827655876 creator A5021605390 @default.
• W2827655876 creator A5085441824 @default.
• W2827655876 date "2018-07-20" @default.
• W2827655876 modified "2023-09-25" @default.
• W2827655876 title "Behavior analysis of virtual-item gambling" @default.
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• W2827655876 doi "https://doi.org/10.1103/physreve.98.012126" @default.
• W2827655876 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30110801" @default.
• W2827655876 hasPublicationYear "2018" @default.
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