A network-based ranking system for US college football

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dc.contributor.author Park, Juyong en_US
dc.contributor.author Newman, M. E. J. en_US
dc.date.accessioned 2006-12-19T19:00:53Z
dc.date.available 2006-12-19T19:00:53Z
dc.date.issued 2005-10-01 en_US
dc.identifier.citation Park, Juyong; Newman, M E J (2005). "A network-based ranking system for US college football." Journal of Statistical Mechanics: Theory and Experiment. 10(P10014). <http://hdl.handle.net/2027.42/48937> en_US
dc.identifier.issn 1742-5468 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/48937
dc.description.abstract American college football faces a conflict created by the desire to stage national championship games between the best teams of a season when there is no conventional play-off system for deciding which those teams are. Instead, ranking of teams is based on their records of wins and losses during the season, but each team plays only a small fraction of eligible opponents, making the system underdetermined or contradictory or both. It is an interesting challenge to create a ranking system that at once is mathematically well founded, gives results in general accord with received wisdom concerning the relative strengths of the teams, and is based upon intuitive principles, allowing it to be accepted readily by fans and experts alike. Here we introduce a one-parameter ranking method that satisfies all of these requirements and is based on a network representation of college football schedules. en_US
dc.format.extent 3118 bytes
dc.format.extent 548055 bytes
dc.format.mimetype text/plain
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher IOP Publishing Ltd en_US
dc.title A network-based ranking system for US college football en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Physics en_US
dc.subject.hlbtoplevel Science en_US
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum Department of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA en_US
dc.contributor.affiliationum Department of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl http://deepblue.lib.umich.edu/bitstream/2027.42/48937/2/jstat5_10_p10014.pdf en_US
dc.identifier.doi http://dx.doi.org/10.1088/1742-5468/2005/10/P10014 en_US
dc.identifier.source Journal of Statistical Mechanics: Theory and Experiment. en_US
dc.owningcollname Interdisciplinary and Peer-Reviewed
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