Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44419
Título: | Basketball scoring in NBA games: An example of complexity | Autores/as: | Saá Guerra, Yves de Martin Gonzalez, Juan Manuel Sarmiento Montesdeoca, Samuel Rodriguez Ruiz, David Arjonilla López, Nieves García Manso, Juan Manuel |
Clasificación UNESCO: | 5802 Organización y planificación de la educación | Palabras clave: | Complexity NBA Non-linear Poisson Power law |
Fecha de publicación: | 2013 | Editor/a: | 1009-6124 | Publicación seriada: | Journal of Systems Science and Complexity | Resumen: | Abstract Scoring in a basketball game is a highly dynamic, non-linear process. NBA teams try to be more and more competitive each season. For instance, they incorporate into their rosters the best players in the world. This and other mechanisms concur to make the scoring process in NBA games exciting and rarely predictable. This paper is to study the behavior of timing and scoring in basketball games. The authors analyze all the games in five NBA regular seasons (2005-06, 2006-07, 2007-08, 2008-09, 2009-10), for a total of 6150 games. Scoring does not behave uniformly; therefore, the authors also analyze the distributions of the differences in points in the basketball games. To further analyze the behavior of the tail of the distribution, the authors also carry out a semilog-plot and a log-log plot to verify whether this trend approaches a Poisson distribution or a PL. This paper reveals different areas of behavior related to the score, with specific instances of time that could be considered tipping points of the game. The presence of these critical points suggests that there are phase transitions where the dynamic scoring of the games varies significantly. © 2013 Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg. | URI: | http://hdl.handle.net/10553/44419 | ISSN: | 1009-6124 | DOI: | 10.1007/s11424-013-2282-3 | Fuente: | Journal of Systems Science and Complexity [ISSN 1009-6124], v. 26, p. 94-103, (Febrero 2013) |
Colección: | Artículos |
Citas SCOPUSTM
20
actualizado el 15-dic-2024
Citas de WEB OF SCIENCETM
Citations
16
actualizado el 15-dic-2024
Visitas
65
actualizado el 09-mar-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.