杜长亮, 丁振峰. 2012: 竞技能力网络结构特征. 体育科学, 32(10): 39-49. DOI: 10.16469/j.css.2012.10.008
    引用本文: 杜长亮, 丁振峰. 2012: 竞技能力网络结构特征. 体育科学, 32(10): 39-49. DOI: 10.16469/j.css.2012.10.008
    DU Zhang-liang, DING Zhen-feng. 2012: The Features of Competitive Ability on Networkstructure. China Sport Science, 32(10): 39-49. DOI: 10.16469/j.css.2012.10.008
    Citation: DU Zhang-liang, DING Zhen-feng. 2012: The Features of Competitive Ability on Networkstructure. China Sport Science, 32(10): 39-49. DOI: 10.16469/j.css.2012.10.008

    竞技能力网络结构特征

    The Features of Competitive Ability on Networkstructure

    • 摘要: 以复杂性科学为研究的方法论,着重应用复杂网络具体方法,构建了竞技能力网络结构的理论模型,在此基础上推演了竞技能力网络结构的部分统计学特征。主要结论:应用复杂性科学方法对竞技能力结构及其特征的揭示,拓展了研究视野和研究路径;竞技能力网络结构源于“点”,成于“边”,“点”是构成竞技能力网络结构的基本组分,“边”是竞技能力网络结构演化升级的驱动力,“加点”、“加边”、“减点”、“减边”、“权重”和“点强”是竞技能力网络演化的重要机制;从统计学特征看,竞技能力网络属于无标度网络,具有小世界现象;竞技能力网络结构演化升级过程中,会呈现增长性、异质性、鲁棒性、高聚集性和较短路径等特征。

       

      Abstract: Being based on the study of complex science,focusing on specific application of complex networks,this paper forms a theory model of network structure and deduces some statistical characteristics of this network structure.The conclusions are as following:The revealing of structure and feature of competitive ability by using complicated and scientific methods expands research version and path.It also explores a new paradigm for creative research of competitive ability;The network structure of competitive ability derives from "point" and resulted in "edge"."Point" is the basic opponent to form the network structure."edge" is the driving force of evolution and upgrade."Add point","add edge","reduce point","reduce edge","measurement" and "enhance point" are important mechanisms of the network evolution of competitive ability;See from the statistical characteristics,the network structure of competitive ability belongs to scale-free network,which is provided with small world phenomenon.In the process of developing and upgrading the network structure of competitive ability,features like growth,metamorphism,robustness,high aggregation and short length can be found.

       

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