Can complex network metrics predict the behavior of NBA teams?

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2008, Pages 695-703

  De Melo, Pedro O S Vaz ^a   Almeida, Virgilio A F ^a   Loureiro, Antonio A F ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Complex networks; Predictability; Sports leagues

Indexed keywords

CLUSTERING COEFFICIENTS; COMPLEX NETWORKS; HISTORICAL DATABASE; IMPLICIT KNOWLEDGE; NATIONAL BASKETBALL ASSOCIATIONS; NEW MODELS; NODE DEGREES; PREDICTABILITY; SPORTS LEAGUES; STATISTICAL DATUM; TEAM SUCCESS;

GAME THEORY; MINING;

INFORMATION MANAGEMENT;

EID: 65449155597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401974     Document Type: Conference Paper

References (22)

1. H. Abbot. Bad use of statistics is killing anderson varejão. True Hoop, november 2007.
2. H. Abbot. Meet adjusted plus/minus. True Hoop, October 2007.
3. Y.-Y. Ahn, S. Han, H. Kwak, S. Moon, and H. Jeong. Analysis of topological characteristics of huge online social networking services. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 835-844, New York, NY, USA, 2007. ACM.
4. R. Albert, H. Jeong, and A.-L. Barabási. Diameter of the World Wide Web. Nature, 401:130-131, September 1999.
5. L. Amaral, A. Scala, M. Barthélémy, and H. Stanley. Classes of small-world networks. Proceedings of the National Academy of Sciences USA, 97(21):11149-11152, October 2000.
6. L. Backstrom, D. Huttenlocher, J. Kleinberg, and X. Lan. Group formation in large social networks: membership, growth, and evolution. In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 44-54, New York, NY, USA, 2006. ACM.
7. E. Ben-Naim, F. Vazquez, and S. Redner. Parity and predictability of competitions. Journal of Quantitative Analysis in Sports, 2(4):1, 2007.
8. J. Camacho, R. Guimerà, and L. A. Nunes Amaral. Robust patterns in food web structure. Phys. Rev. Lett, 88(22):228102, May 2002.
9. T. W. Company. Sports illustrated. http://sportsillustrated.cnn.com/, 2007.
10. C. Cowan. The line on nba betting. Business week, July 2006.
11. databaseSports.com. Database basketball. www.databasebasketball.com, 2007.
12. P. Erdös and A. Rényi. On the evolution of random graphs. Publ. Math. Inst Hung. Acad. Sci., 7:17, 1960.
13. M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the internet topology. In SIGCOMM, pages 251-262, 1999.
14. S. Ilardi. Adjusted plus-minus: An idea whose time has come. 82games.com, October 2007.
15. M. G. Kendall and J. D. Gibbons. Rank Correlation Methods. Oxford University Press, New York, 5th edition, 1990.
16. G. Kossinets and D. J. Watts. Empirical analysis of an evolving social network. Science, 311(5757):88-90, January 2006.
17. S. Milgram. The small world problem. Psychology Today, 1:60-67, 1967.
18. nba.com. www.nba.com. 2008.
19. M. Newman. The structure and function of complex networks, 2003.
20. M. E. Newman. The structure of scientific collaboration networks. Proc Natl Acad Sci USA, 98(2):404-409, January 2001.
21. R. N. Onody and P. A. de Castro. Complex network study of brazilian soccer players. Physical Review E, 70:037103, 2004.
22. D. J. Watts and S. H. Strogatz. Collective dynamics of "small-world" networks. Nature, 393:440-442, 1998.