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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (2): 37-45    DOI: 10.11925/infotech.2096-3467.2017.0893
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Analyzing Decentralization and Performance of 2017 NBA Final Teams with Weighted Directed Network Entropy
Jiang Wu(),Chaocheng He,Zheng Gong
School of Information Management, Wuhan University, Wuhan 430072, China
Center of Chinese E-commerce Research and Development of Wuhan University, Wuhan 430072, China
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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

Cite this article:

Jiang Wu,Chaocheng He,Zheng Gong. 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:

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

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