摘要
【目的】定量研究组织的中心化水平及其对球队绩效的影响。【方法】以2017年NBA总决赛为例,人工记录球队的传接球关系并构建网络,原创地提出加权有向网络熵(Weighted Directed Network Entropy,WDNE)的定义与算法,分析传接球网络。【结果】WDNE值越大,网络的去中心化程度越高。当球队传接球网络的WDNE差距较大时,得分差距也拉大;反之,得分差距也小。【局限】人工记录会导致遗漏与偏差,同时数据量也偏小。【结论】研究发现去中心化水平对球队的绩效、球队网络的鲁棒性、球队凝聚力有积极影响。
[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.
作者
吴江
贺超城
龚正
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)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2018年第2期37-45,共9页
Data Analysis and Knowledge Discovery
