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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.
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Received: 06 September 2017
Published: 07 March 2018
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