Study On The Cooperation Network Of Sport Research Papers

Scientific cooperation with innovative ideas for cohesion, access to scientific and technical information, share research resources, to cultivate and foster innovation in the new era compound talents, As well as in key subject areas to achieve leapfrog development and acquisition of scientific breakthroughs and so on are of great significance. However, the academic community in the past for research and collaborative research focused on scientific research and cooperation in the field of natural science to explore the phenomenon, few studies on the social scientific cooperation, research cooperation in the fields for the sport is even more rare study of the phenomenon and mainly confined to the study of individual branches or the surface of a particular year study, In research methods and point of view, let alone be innovative, has significantly lagged behind the development of the times.Based on the above analysis and consideration, this paper take scientific papers co-operative perspective as an entry point, Metrology using scientific analysis, social network analysis, mathematical statistics and other scientific analysis methods, Select the representation of the core journals of China's Sports "Sports Science", "China Sports Science and Technology", "Shanghai Institute of Physical Education" as the paper data sources, China's sports co-operation network of scientific papers to be described Issued a document from the co-operation network, the core of a cooperative network of high-yielding authors, keywords and other papers point of view of scientific papers out of the cooperation of China's sports network, Get the following main conclusions and recommendations:Conclusions1 From the trend of changes in the scale of cooperation point of view,2004-2008 years, cooperation in the field of sports research and the scale showed a clear upward trend, The past five years, the rate of scientific papers co-authored an increase of 15.4%, the average cooperation rate was 70.5%, cooperation, degree of increase of 9.7%, with an average co-degree 2.49/person. Cooperation in the field of sports research studies have a certain scale. collaborative research is the field of sports science to achieve leapfrog development and the achievement of a major breakthrough in an inevitable trend of development.2 In China's sports a number of scientific Active in research, such as Hu Yang, CHEN Pei-jie, Chen Xiaoping, etc. have greater influence on the core co-author and research team, They have sports science have made outstanding contributions to the development, They are mainly from the professional sports schools, physical branches so and comprehensive university sports Departments.3 China's sports co-operation network of scientific papers increased year by year the number of nodes, And the node degree distribution has exponential distribution characteristics. Sports Research Papers cooperative network showed as a "scale-free" network features, nodes and a smaller average path between nodes with "small world" network characteristics.4 China's sports co-operation network of scientific papers have reached a basic level of concentration of the network structure of relative stability. Team and between teams, research staff and team of a large-scale inter-connectivity between the still relatively small.5 China's sports co-operation network of scientific papers composed of the more connected sub-networks, The entire network has not connected into a whole network of interlinked.6 China's sports papers co-main types of network mainly structure to a single point type and dual-core, Cooperative team must step up the building.Recommendations:1 Suggests that the scientific research and management placing emphasis on research teams, and strengthening the guiding collaborative research, to build a favorable platform for collaborative research.2 Suggested researchers to enhance collaborative research awareness, In order to better provide a theoretical basis for the guidance of co-operation.3 Recommends future research using social network analysis of the latest theories and methods, to do more in-depth collaborative research.