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An Empirical Study On Boxing Athletes’ Competitive Ability Character Of Network Structure

Posted on:2017-03-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:H ZhangFull Text:PDF
GTID:1227330485976929Subject:Physical Education and Training
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Complex Networks are intricately systematic teaching pattern based on data. It quantitatively describes complex system with using data creatively and discovers the structure character of complex system from microcosmic and macroscopic view with new perspective. The process of cognition about competitive ability is from block model to honeycomb model that is up to date. All of them are theory discussion of quantitative description about competitive ability. The hit of network science provides our system the new perspective and the method of quantitative description to cognize competitive ability, which is that any complex system can be treated as network to research. This treatise shows empirical research which is based on boxing and in the way of network science for the network character of boxing athletes’ competitive ability. Based on data, it also takes the quantitative description about the network of boxing athletes’ competitive ability. After knowing the structure feature and controlling the core of ability and community structure, it provides us the support and reference in data to re-recognize the boxing athletes’ competitive ability, training and competition.The content and results of this thesis are as follows:1、Basing on the sports training theory, we control the network science’s crucial technology applying to the field of research about boxing athletes’ competitive ability, and make it clear that the relevant things what the analysis of boxing competitive ability need, like network science statistical indicators、modeling approach、 analysis method、index interpretation and visual analytics.2、We built the index system of boxing athletes’ competitive ability and give comparative analysis of network character about athletes’ competitive ability with male and female, high level and low level athletes. At the same time, we completely analyze the structure feature of male and female players’ competitive ability from the macroscopic view which is related to the whole network about boxing athletes’ ability and the microcosmic view which is the network related to various elements.3、Combing the sports training theory,We interpret the statistics index relevant to network science and systematically analyze the structure feature 、 centrality and partition of community structure of boxing athletes’ competitive ability network and explore manipulation program of visual network. Finally it will provide the data guidelines for boxing exercise and competition.4、The competitive ability networks of male、female athletes and low、high –level athletes do not belong to scale-free network,but have the same characteristic that is small world network. In training, we improve the control of core competence、training efficiency and the level of competitive ability according to the order of importance of network centrality for node providing the quantitative and accurate data.5、The competitive ability networks between male and female players both have obvious partition about community structure. Every community’ nodes contact closely. And every community has high interaction which has diverse effect on competitive ability network. The node in every community consists of various kinds of competitive ability index which cooperate and emerge the function of community. The more competitive ability index the high-level athletes can coordinate, the higher level competitive ability they will show in the process of practice.6、The overall level of competitive ability is competitive performance which emerges in interrelationship、relevance and cooperation with every factor, does not depend on one or some competitive abilities. From the degree of the node of competitive ability, the development of the various factors of boxing athletes has obvious non-equilibrium.
Keywords/Search Tags:boxing, male, female, complex networks, visualization
PDF Full Text Request
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