Scaling in Tournaments

dc.creatorBen-Naim, E.
dc.creatorRedner, S.
dc.creatorVazquez, F.
dc.date2006-07-26
dc.date2006-12-14
dc.date.accessioned2026-07-07T07:42:33Z
dc.date.available2026-07-07T07:42:33Z
dc.descriptionWe study a stochastic process that mimics single-game elimination tournaments. In our model, the outcome of each match is stochastic: the weaker player wins with upset probability q<=1/2, and the stronger player wins with probability 1-q. The loser is eliminated. Extremal statistics of the initial distribution of player strengths governs the tournament outcome. For a uniform initial distribution of strengths, the rank of the winner, x_*, decays algebraically with the number of players, N, as x_* ~ N^(-beta). Different decay exponents are found analytically for sequential dynamics, beta_seq=1-2q, and parallel dynamics, beta_par=1+[ln (1-q)]/[ln 2]. The distribution of player strengths becomes self-similar in the long time limit with an algebraic tail. Our theory successfully describes statistics of the US college basketball national championship tournament.
dc.description5 pages, 1 figure, empirical study added
dc.identifierhttps://arxiv.org/abs/cond-mat/0607694
dc.identifierhttp://arxiv.org/abs/cond-mat/0607694
dc.identifierEurophys. Lett. 77, 30005 (2007)
dc.identifierdoi:10.1209/0295-5075/77/30005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/122483
dc.subjectStatistical Mechanics
dc.subjectPhysics and Society
dc.titleScaling in Tournaments
dc.typetext

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