Under modern information conditions, competitive intelligence has an important strategic role for an enterprise to reduce market, financial and other risks. How to correctly evaluate the value of competitive intelligence and make the right decision for an enterprise directly determines the survival and development of an enterprise. By establishing a co-occurrence relationship between the two, the core themes of corporate microblog communication are discovered. Proceeding from the basic theory of the value of competitive intelligence, it is proposed that due to the connection of business departments within the enterprise system, the transfer value of competitive intelligence within the enterprise system is changed, and a mathematical analysis method is used to establish a value transfer analysis model. The value-added process of enterprise competitive intelligence and the internal and external operational processes of the enterprise are unified, and the internal and external competitive intelligence value-added operation modes of enterprises led by different strategies are studied. This provides a new and widely-referenced operational reference for different companies to effectively formulate and implement their competition and cooperation strategies through internal and external competitive intelligence operations.
Professional athletes' social networks have rarely been explored. In this paper, we propose a framework to analyze athletes' social networks. Based on the characteristics of athletes' social network structure and social support theory, the matrix distribution is introduced to describe the network structure. The observation model of the Bayesian network is established, and then the Gaussian process analysis model of sparse matrix is used to investigated the network. We collected real-world data of athletes' social networks by questionnaires, which contain eight thematic network data. With our method, the interpersonal network of professional athletes is analyzed and the adjacency relationships are predicted. Finally, taking the social subnet of the athlete social network as an example and using the model and algorithm, the node support factor analysis and the complex network community convergence factors are analyzed. We found that professional athletes' social networks have a stronger small-world characteristic than the general public's social networks. The proposed model and algorithm provide a new quantitative approach for studying professional athletes' social networks.INDEX TERMS Bayesian network, matrix distribution, professional athletes, social network.
A scientific paper’s citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the following conclusions: (1) as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; (2) in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; (3) within knowledge networks, an inverted- U shape was found between degree centrality and paper’s citation; and (4) within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields.
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