A state of the art analysis of hotspots in sport governance research from a co-word network perspective based on the bibliographic co-occurrence analysis system software BICOMB

Jing Chen; Xueli Tian; Wenxue Tian; Ping Wang

doi:10.1117/12.2672171

28 March 2023 A state of the art analysis of hotspots in sport governance research from a co-word network perspective based on the bibliographic co-occurrence analysis system software BICOMB

Jing Chen, Xueli Tian, Wenxue Tian, Ping Wang

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Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 1259722 (2023) https://doi.org/10.1117/12.2672171
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

In the national governance system, due to the positive significance of sports to political, economic and social development, it is decided that sports governance is one of the important foundations for the modernization of national governance system construction and governance capacity building, therefore, the research on sports governance has attracted much social attention. Based on the China Knowledge Network journal database, we combed through the literature on sports governance research in the past ten years, and used the bibliographic co-occurrence analysis software (BICOMB) to conduct keyword analysis, co-word analysis, systematic cluster analysis and multi-dimensional scale analysis to map the hot topic network and future trend of sports governance research, and found that sports governance research mainly includes research on the top-level design of sports governance, sports industry research, public These three areas are in different strategic positions. These three areas are at different strategic positions and development stages, with public sport and multi-governance research at the core of the overall research layout, sport industry research having formed a stable structure and considerable scale, while research on top-level design of sport governance is still a little weak.

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Jing Chen, Xueli Tian, Wenxue Tian, and Ping Wang "A state of the art analysis of hotspots in sport governance research from a co-word network perspective based on the bibliographic co-occurrence analysis system software BICOMB", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 1259722 (28 March 2023); https://doi.org/10.1117/12.2672171

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KEYWORDS

Analytical research

Cooccurrence matrices

Industry

Statistical analysis

Design and modelling

Databases

Visual analytics

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