本文關(guān)鍵詞：拳擊運動員競技能力網(wǎng)絡(luò)結(jié)構(gòu)特征的實證研究　出處：《北京體育大學(xué)》2016年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 拳擊 男子 女子 競技能力 復(fù)雜網(wǎng)絡(luò) 可視化

【摘要】：復(fù)雜網(wǎng)絡(luò)是以數(shù)據(jù)為基礎(chǔ)的復(fù)雜系統(tǒng)的數(shù)學(xué)模型,創(chuàng)新的使用數(shù)據(jù)對復(fù)雜系統(tǒng)進行定量化的描述,以一種全新的視角去探索復(fù)雜系統(tǒng)在宏觀和微觀上的結(jié)構(gòu)特征。對運動員競技能力的認識過程經(jīng)歷了“木桶模型”到最新的“蜂窩模型”,這些均是對運動員競技能力定性描述的理論探討。網(wǎng)絡(luò)科學(xué)的興起為我們認識競技能力的系統(tǒng)提供了一個全新的視野和定量描述的方法,任何復(fù)雜的系統(tǒng)都可以表示為網(wǎng)絡(luò)進行研究。本文就是以拳擊運動為載體,以網(wǎng)絡(luò)科學(xué)為方法,在數(shù)據(jù)的基礎(chǔ)上,對拳擊運動員競技能力的結(jié)構(gòu)特征進行的研究。了解其結(jié)構(gòu)特點,把握核心的能力要素和社團結(jié)構(gòu),進而為我們重新認識拳擊運動員競技能力特點及訓(xùn)練和比賽實踐提供數(shù)據(jù)的支持和參考。本論文的研究內(nèi)容和成果如下:1、掌握了網(wǎng)絡(luò)科學(xué)在拳擊運動員競技能力研究領(lǐng)域應(yīng)用的關(guān)鍵技術(shù),明確了拳擊競技能力分析所需的網(wǎng)絡(luò)科學(xué)統(tǒng)計指標(biāo)、建模方式、計算軟件、分析方法、指標(biāo)解讀和可視化分析。2、構(gòu)建了拳擊運動員競技能力的指標(biāo)體系,并對男、女和高、低水平運動員的競技能力網(wǎng)絡(luò)特征進行了對比分析。同時,從拳擊運動員競技能力整體網(wǎng)絡(luò)的宏觀層面和各要素網(wǎng)絡(luò)的微觀層面入手,全面分析男、女拳擊運動員競技能力網(wǎng)絡(luò)在這兩個層面上的結(jié)構(gòu)特征。3、結(jié)合運動訓(xùn)練理論對網(wǎng)絡(luò)科學(xué)相關(guān)的統(tǒng)計指標(biāo)進行解讀,系統(tǒng)分析了拳擊運動員競技能力網(wǎng)絡(luò)的結(jié)構(gòu)特征、中心性和社團結(jié)構(gòu)劃分,探索了網(wǎng)絡(luò)可視化的處理程序,為拳擊運動和比賽實踐提供了數(shù)據(jù)參考。4、男、女拳擊運動員和高、低水平拳擊運動員競技能力網(wǎng)絡(luò)均不屬于無標(biāo)度網(wǎng)絡(luò),但都具有小世界網(wǎng)絡(luò)的特性。網(wǎng)絡(luò)中心性分析對節(jié)點重要性的排序,為訓(xùn)練實踐中核心能力的把控、訓(xùn)練效率和競技能力水平的有效提高,提供了量化的準(zhǔn)確依據(jù)。5、男、女拳擊運動員的競技能力網(wǎng)絡(luò)都具有明顯的社團結(jié)構(gòu)劃分,各社團中的節(jié)點連接緊密,社團之間高度關(guān)聯(lián),在競技能力網(wǎng)絡(luò)中發(fā)揮不同的作用。每個社團中的節(jié)點都是由多種競技能力指標(biāo)構(gòu)成,共同協(xié)作涌現(xiàn)出社團的功能。高水平運動員在實踐過程中能夠協(xié)調(diào)更多的競技能力指標(biāo)協(xié)同參與,而涌現(xiàn)出更高的競技能力水平。6、拳擊運動員競技能力的整體水平是各要素相互影響、相關(guān)關(guān)聯(lián)、協(xié)同參與而涌現(xiàn)出的競技表現(xiàn),不是單個或多個競技能力要素的水平所決定的。從競技能力網(wǎng)絡(luò)中節(jié)點的度值來看,拳擊運動員競技能力各要素的發(fā)展存在著明顯的非均衡性。
[Abstract]:Complex network is a mathematical model of complex system based on data. This paper explores the structural characteristics of complex system in macro and micro from a new angle of view. The understanding process of athletes' competitive ability has gone through the "bucket model" to the latest "honeycomb model". All these are theoretical discussions on qualitative description of athletes' competitive ability. The rise of network science provides us with a new vision and a method of quantitative description for our understanding of competitive ability system. Any complex system can be represented as a network research. This paper is based on the data of boxing as the carrier and the network science as the method. This paper studies the structural characteristics of boxing athletes' competitive ability, understands its structural characteristics, and grasps the core competence elements and community structure. And then for us to re-understand the characteristics of boxing athletes competitive ability and training and competition practice to provide data support and reference. The research content and results of this paper are as follows: 1. Master the key technology of the application of network science in boxing athletes competitive ability research field, define the network science statistical index, modeling method, calculation software, analysis method of boxing competitive ability analysis. The index interpretation and visual analysis. 2, constructed the boxing athletes competitive ability index system, and compared the competitive ability network characteristics of male, female and high, low level athletes. At the same time. Starting from the macro level of the overall network of boxing athletes' competitive ability and the micro level of each element network, this paper comprehensively analyzes the structural characteristics of the competitive ability network of male and female boxing athletes at these two levels. Combined with the theory of sports training, this paper interprets the related statistical indexes of network science, and systematically analyzes the structure characteristics, centrality and division of community structure of boxing athletes' competitive ability network. This paper explores the processing program of network visualization and provides data reference for boxing and competition practice. The network of competitive ability of male and female boxing athletes and high and low level boxers does not belong to scale free network. But they all have the characteristics of small-world network. The network centrality analysis of the importance of the node ranking, for the training practice of core competence control, training efficiency and competitive ability level of effective improvement. Provides the accurate basis of quantification. 5. The competitive ability network of male and female boxing athletes has obvious community structure division, the nodes in each association are closely connected, and the association is highly related. Play a different role in the competitive ability network. The nodes in each community are composed of a variety of competitive ability indicators. In the process of practice, high-level athletes can coordinate more competitive ability indicators to participate in coordination, and emerge a higher competitive ability level of .6. The overall level of boxing athletes' competitive ability is the emergence of competitive performance of various factors, related to each other, cooperative participation. It is not determined by the level of single or multiple competitive ability elements. From the point of view of the degree value of the nodes in the competitive ability network, the development of various elements of boxing athletes' competitive ability is obviously unbalanced.
【學(xué)位授予單位】：北京體育大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：G886.1

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