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A network-based ranking system for US college football

dc.contributor.authorPark, Juyongen_US
dc.contributor.authorNewman, M. E. J.en_US
dc.date.accessioned2006-12-19T19:00:53Z
dc.date.available2006-12-19T19:00:53Z
dc.date.issued2005-10-01en_US
dc.identifier.citationPark, 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.issn1742-5468en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48937
dc.description.abstractAmerican 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.extent3118 bytes
dc.format.extent548055 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherIOP Publishing Ltden_US
dc.titleA network-based ranking system for US college footballen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48937/2/jstat5_10_p10014.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1088/1742-5468/2005/10/P10014en_US
dc.identifier.sourceJournal of Statistical Mechanics: Theory and Experiment.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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