Please wait a minute...
Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (2): 37-45    DOI: 10.11925/infotech.2096-3467.2017.0893
Current Issue | Archive | Adv Search |
Analyzing Decentralization and Performance of 2017 NBA Final Teams with Weighted Directed Network Entropy
Wu Jiang(), He Chaocheng, Gong Zheng
School of Information Management, Wuhan University, Wuhan 430072, China
Center of Chinese E-commerce Research and Development of Wuhan University, Wuhan 430072, China
Download: PDF (1717 KB)   HTML ( 3
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper aims to analyze the impacts of de-centralization level on NBA team’s performance. [Methods] First, we watched the 2017 NBA Final videos to establish a ball-passing network. Then, we originally proposed the definition and algorithm of weighted directed network entropy(WDNE) to analyze the team’s performance. [Results] We found the WDNE value was positively correlated to the degree of network decentralization. When the team’s WDNE gap was large, the score gap was also widened, or vice versa. [Limitations] Manual recording might lead to omissions and deviations, while the sample size was small. [Conclusions] The decentralization level poses positive effects to a team’s performance, as well as the cohesion and robustness of the team’s network.

Key wordsNBA Finals      Decentralization      Weighted Directed Network Entropy      Robustness      Disorder     
Received: 06 September 2017      Published: 07 March 2018
ZTFLH:  N94 G35  

Cite this article:

Wu Jiang,He Chaocheng,Gong Zheng. Analyzing Decentralization and Performance of 2017 NBA Final Teams with Weighted Directed Network Entropy. Data Analysis and Knowledge Discovery, 2018, 2(2): 37-45.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0893     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I2/37

发球者 接球者 次数 发球者 接球者 次数
A D 12 C D 5
A B 4 C A 4
A C 5 C B 7
B D 15 D A 20
B A 3 D B 18
B C 8 D C 6
发球者 接球者 次数 E H
A D 12 12/107 0.2454
A B 4 4/107 0.1229
A C 5 5/107 0.1431
B D 15 15/107 0.2754
B A 3 3/107 0.1002
B C 8 8/107 0.1939
C D 5 5/107 0.1431
C A 4 4/107 0.1229
C B 7 7/107 0.1784
D A 20 20/107 0.3135
D B 18 18/107 0.2999
D C 6 6/107 0.1616
Node Weight+ Weight- Weight+ +
Weight-
V + V - V + + V -
A 21 27 48 0.5114 0.5366 1.048
D 44 32 76 0.775 0.6639 1.4389
B 26 29 55 0.5695 0.6012 1.1707
C 16 19 35 0.4444 0.4986 0.943
球队 球员 加权入度 加权入向节点熵 加权出度 加权出向节点熵 加权度 加权有向节点熵
骑士队 Q23 347 0.94 308 0.85 655 1.79
Q2 277 0.77 192 0.57 469 1.34
Q0 118 0.38 185 0.51 303 0.89
Q5 102 0.35 89 0.31 191 0.66
Q13 61 0.22 112 0.37 173 0.59
Q31 77 0.33 91 0.37 168 0.70
Q24 62 0.24 61 0.25 123 0.49
Q26 41 0.17 45 0.19 86 0.36
勇士队 Y30 300 0.71 257 0.66 557 1.37
Y23 212 0.60 294 0.71 506 1.31
Y35 239 0.64 189 0.53 428 1.17
Y9 154 0.48 172 0.51 326 0.99
Y11 139 0.43 112 0.38 251 0.81
Y34 93 0.32 85 0.29 178 0.61
Y27 45 0.16 66 0.23 111 0.39
Y3 48 0.18 47 0.18 95 0.36
球队 有向边数 平均
加权度
最大加
权边度
最小加
权边度
标准差
骑士队 87 13.14 99 1 20.13
勇士队 111 12.23 124 1 17.50
场次 球队 加权有向网络熵 得分 助攻 失误 犯规 投篮 三分 罚球 前场板 后场板 抢断 盖帽 篮板
1 骑士 3.329 91 15 20 23 30/86 11/31 20/25 15 44 0 6 59
勇士 3.455 113 31 4 24 45/106 12/33 11/16 14 36 12 3 50
2 骑士 3.033 113 27 9 18 45/100 8/29 15/19 10 31 15 1 41
勇士 3.259 132 34 20 19 46/89 18/43 22/24 10 43 5 7 53
3 骑士 3.302 113 17 12 25 40/90 12/44 21/25 10 27 9 3 37
勇士 3.363 118 29 18 28 40/83 16/33 22/24 8 36 8 4 44
4 骑士 3.537 137 27 11 24 46/87 24/45 21/31 11 30 6 3 41
勇士 3.541 116 26 12 27 39/87 11/39 27/36 16 24 5 7 40
5 骑士 3.306 120 22 14 22 47/88 11/24 15/23 12 28 6 5 40
勇士 3.394 129 27 13 24 46/90 14/38 23/28 13 29 8 2 42
[1] 于振峰, 谢恩杰, 李晨峰. 我国职业篮球运动员转会制度及相关法律问题[J]. 体育与科学, 2003, 24(4): 49-51.
doi: 10.3969/j.issn.1004-4590.2003.04.014
[1] (Yu Zhenfeng, Xie Enjie, Li Chenfeng.The Research on the Transfer System and Related Laws of Chinese Professional Basketball Players[J]. Journal of Sports and Science, 2003, 24(4): 49-51.)
doi: 10.3969/j.issn.1004-4590.2003.04.014
[2] 王建国, 刘玉林. NBA制衡机制研究[J]. 体育科学, 2006, 26(9): 86-95.
[2] (Wang Jianguo, Liu Yulin.Study on Check and Balance Mechanism of NBA[J]. China Sport Science, 2006, 26(9): 86-95.)
[3] 王黎萤, 陈劲. 国内外团队创造力研究述评[J]. 研究与发展管理, 2010, 22(4): 62-68.
[3] (Wang Liying, Chen Jin.A Review of the Domestic and Foreign Researches on Team Creativity[J]. R & D Management, 2010, 22(4): 62-68.)
[4] Gao D, Deng X, Zhao Q, et al.Multi-Agent Based Simulation of Organizational Routines on Complex Networks[J]. Journal of Artificial Societies & Social Simulation, 2015, 18(3). DOI: 10.18564/jasss.2817.
doi: 10.18564/jasss.2817
[5] Price J, Wolfers J.Racial Discrimination Among NBA Referees[J]. The Quarterly Journal of Economics, 2007, 125(4): 1859-1887.
[6] Hausman J A, Leonard G K.Superstars in the National Basketball Association: Economic Value and Policy[J]. Journal of Labor Economics, 1997, 15(4): 586-624.
doi: 10.1086/209839
[7] 杨铁黎, 张建华, 王必琪. NBA 职业篮球市场的成功经验及启示[J]. 北京体育大学学报, 2000, 23(3): 300-302.
doi: 10.3969/j.issn.1007-3612.2000.03.005
[7] (Yang Tieli, Zhang Jianhua, Wang Biqi.Successful Experiences and Revelation of NBA Prefessional Basketball Market[J]. Journal of Beijing Sport University, 2000, 23(3): 300-302.)
doi: 10.3969/j.issn.1007-3612.2000.03.005
[8] 丁洁, 王岗. 解读NBA全球化[J]. 体育文化导刊, 2006(4): 25-28.
[8] (Ding Jie, Wang Gang.Interpretation of NBA Globalization[J]. Sports Culture Guide, 2006(4): 25-28.)
[9] 张自明, 孙民治. 对 NBA 市场开发成功经验的分析[J]. 首都体育学院学报, 2005, 17(2): 7-8.
doi: 10.3969/j.issn.1009-783X.2005.02.003
[9] (Zhang Ziming, Sun Minzhi.An Analysis on the Successful Experience of NBA Market Expoitation[J]. Journal of Capital Institute of Physical Education, 2005, 17(2): 7-8.)
doi: 10.3969/j.issn.1009-783X.2005.02.003
[10] 王晓东, 白麟. NBA 薪资制度建设及运行效果研究[J]. 广州体育学院学报, 2010, 30(4): 16-20.
[10] (Wang Xiaodong, Bai Lin.Research on NBA Salary System and Operating Condition[J]. Journal of Guangzhou Sport University, 2010, 30(4): 16-20.)
[11] 王建国. NBA 制衡机制的理论构建[J]. 上海体育学院学报, 2005, 29(3): 26-29.
doi: 10.3969/j.issn.1000-5498.2005.03.007
[11] (Wang Jianguo.Theory Building of NBA Balance Mechanism[J]. Journal of Shanghai University of Sport, 2005, 29(3): 26-29.)
doi: 10.3969/j.issn.1000-5498.2005.03.007
[12] 王建国, 刘玉林. NBA 选秀制度研究[J].中国体育科技, 2005, 41(1): 62-64.
[12] (Wang Jianguo, Liu Yulin.Research on System of Selecting New Talent in NBA[J]. China Sport Science and Technology, 2005, 41(1): 62-64.)
[13] 滕朝阳, 郭永东. 美国职业篮球进攻与防守的技战术特征[J]. 成都体育学院学报, 2003, 29(1): 54-56.
doi: 10.3969/j.issn.1001-9154.2003.01.016
[13] (Teng Zhaoyang, Guo Yongdong.New Tendency of World Basketball[J]. Journal of Chengdu Physical Education Institute, 2003, 29(1): 54-56.)
doi: 10.3969/j.issn.1001-9154.2003.01.016
[14] 金赛英. NBA各队主要进攻战术打法特点之研究[J]. 北京体育大学学报, 2004, 27(11): 1569-1571.
doi: 10.3969/j.issn.1007-3612.2004.11.051
[14] (Jin Saiying.Main Characteristics of Attack Tactics of NBA Team[J]. Journal of Beijing Sport University, 2004, 27(11): 1569-1571.)
doi: 10.3969/j.issn.1007-3612.2004.11.051
[15] 黎耀奇, 谢礼珊. 社会网络分析在组织管理研究中的应用与展望[J]. 管理学报, 2013, 10(1): 146-154.
[15] (Li Yaoqi, Xie Lishan.Social Network Analysis in Organizational Management Research: Current Status and Future Directions[J]. Chinese Journal of Management, 2013, 10(1): 146-154.)
[16] Chang M H, Harrington Jr J E. Discovery and Diffusion of Knowledge in an Endogenous Social Network[J]. American Journal of Sociology, 2005, 110(4): 937-976.
doi: 10.1086/426555
[17] 边燕杰, 张文宏. 经济体制, 社会网络与职业流动[J]. 中国社会科学, 2001, 2(10): 77-89.
[17] (Bian Yanjie, Zhang Wenhong. Economic System, Social Network and Professional Mobility[J]. Social Sciences in China, 2001, 2(10): 77-89. )
[18] 邱菀华. 管理决策熵学及其应用[M]. 北京: 中国电力出版社, 2011.
[18] (Qiu Wanhua.Management Decision Entropy and Its Application[M]. Beijing: China Electric Power Press, 2011.)
[19] 马丽仪, 邱菀华, 杨亚琴. 大型复杂项目风险建模与熵决策[J]. 北京航空航天大学学报, 2010, 36(2): 184-187.
[19] (Ma Liyi, Qiu Wanhua, Yang Yaqin.Risk Modeling and Entropy Decision on Large Complex Project[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(2): 184-187.)
[20] Shannon C E.A Mathematical Theory of Communication[J]. Bell System Technical Journal, 1948, 27(3): 379-428.
doi: 10.1002/bltj.1948.27.issue-3
[21] 张义荣, 鲜明, 王国玉. 一种基于网络熵的计算机网络攻击效果定量评估方法[J]. 通信学报, 2004, 25(11): 158-165.
doi: 10.3321/j.issn:1000-436X.2004.11.022
[21] (Zhang Yirong, Xian Ming, Wang Guoyu.A Quantitative Evaluation Technique of Attack Effect of Computer Network Based on Network Entropy[J]. Journal on Communications, 2004, 25(11): 158-165.)
doi: 10.3321/j.issn:1000-436X.2004.11.022
[22] 谭跃进, 吴俊. 网络结构熵及其在非标度网络中的应用[J]. 系统工程理论与实践, 2004, 24(6): 1-3.
[22] (Tan Yuejin, Wu Jun.Network Structure Entropy and Its Application to Scale-free Networks[J]. System Engineering Theory and Practice, 2004, 24(6): 1-3.)
[23] 曾明华, 李夏苗, 刘大鹏. 城市群交通网络特性[J]. 系统工程, 2009, 27(3): 10-15.
[23] (Zeng Minghua, Li Xiamiao, Liu Dapeng.The Properties of Traffic Networks in Urban Agglomeration[J]. Systems Engineering, 2009, 27(3): 10-15.)
[24] 杨波, 赵海, 张君, 等. AS级Internet拓扑突变性分析[J]. 东北大学学报: 自然科学版, 2011, 32(3): 376-379.
doi: 10.3969/j.issn.1005-3026.2011.03.018
[24] (Yang Bo, Zhao Hai, Zhang Jun, et al.Analyzing Catastrophe Tendency of AS-Level Internet Topology[J]. Journal of Northeastern University: Natural Science, 2011, 32(3): 376-379.)
doi: 10.3969/j.issn.1005-3026.2011.03.018
[25] 姚维国. 谈谈篮球后卫队员的助攻问题[J]. 山东体育学院学报, 1986(1): 16-18.
[25] (Yao Weiguo.Study on Assists of Guard in a Basketball Game[J]. Journal of Shandong Institute of Physical Education and Sports, 1986(1): 16-18.)
No related articles found!
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn