“….3.1.2. Data Collection and Processing.Taking the sports economic parks in 31 provinces, autonomous regions, and municipalities directly under the Central Government (excluding Hong Kong, Macao, and Taiwan) as the survey object, the relevant information and data of local sports economic parks are collected through the State Sports General Administration, and the addresses, names, approval year, leading sports industry category, and other information are sorted into Excel 2020 software[24,25]. 1 : 4 million map spatial data of China are obtained through the National Basic Geographic Center.…”
The service information system is constantly transforming to a networked information model, and domestic hardware equipment is constantly updated. Independent controllability has also become the basic requirement of the new information age. With the development of the information age and the new era of independent control, more and more services and applications will also be deployed on autonomous and controllable cloud platforms. With the rapid development of Internet technology in the information age and the resulting changes in productivity, people can record, store, and transmit more and more information. When information becomes recordable, storage, and easy to transmit, information becomes modern meaning nowadays, an era of information explosion characterized by massive, volatile, timely transmission, and diverse forms has truly come, forming what is now called the “big data era”. This article mainly introduces the analysis of sports big data based on the cloud platform and the research on the impact on the sports economy and intends to provide ideas and directions for the analysis of sports big data and the research on the impact on the sports economy. This paper proposes a cloud platform-based sports big data analysis and research methods for its impact on the sports economy, including the use of Hadoop cloud platform big data processing systems and support vector regression algorithms for cloud platform-based sports big data analysis and sports economy. The experimental results of this paper show that the average correlation between sports big data analysis and sports economic development is 0.5155, and appropriate cloud platform-based sports big data analysis plays a positive role in promoting sports economic development.
“….3.1.2. Data Collection and Processing.Taking the sports economic parks in 31 provinces, autonomous regions, and municipalities directly under the Central Government (excluding Hong Kong, Macao, and Taiwan) as the survey object, the relevant information and data of local sports economic parks are collected through the State Sports General Administration, and the addresses, names, approval year, leading sports industry category, and other information are sorted into Excel 2020 software[24,25]. 1 : 4 million map spatial data of China are obtained through the National Basic Geographic Center.…”
The service information system is constantly transforming to a networked information model, and domestic hardware equipment is constantly updated. Independent controllability has also become the basic requirement of the new information age. With the development of the information age and the new era of independent control, more and more services and applications will also be deployed on autonomous and controllable cloud platforms. With the rapid development of Internet technology in the information age and the resulting changes in productivity, people can record, store, and transmit more and more information. When information becomes recordable, storage, and easy to transmit, information becomes modern meaning nowadays, an era of information explosion characterized by massive, volatile, timely transmission, and diverse forms has truly come, forming what is now called the “big data era”. This article mainly introduces the analysis of sports big data based on the cloud platform and the research on the impact on the sports economy and intends to provide ideas and directions for the analysis of sports big data and the research on the impact on the sports economy. This paper proposes a cloud platform-based sports big data analysis and research methods for its impact on the sports economy, including the use of Hadoop cloud platform big data processing systems and support vector regression algorithms for cloud platform-based sports big data analysis and sports economy. The experimental results of this paper show that the average correlation between sports big data analysis and sports economic development is 0.5155, and appropriate cloud platform-based sports big data analysis plays a positive role in promoting sports economic development.
“…In addition, the signature algorithm can protect the privacy of transaction information, including 3 Wireless Communications and Mobile Computing the address information of both parties to the transaction, transaction amount, etc. [14,15]. In this scheme, the transaction amount of transactions involving multiple input addresses and multiple output addresses can be hidden.…”
Problems such as excessive centralization of sports industry operations, unclear value, and lack of IP protection hinder the benign interaction between various formats of the sports industry and the healthy operation of the industrial ecosystem. This article is aimed at studying the use of the decentralization, openness and transparency, smart contracts, copyright traceability, and other characteristics of the BT to construct a PCMR model, which can solve the pain points faced by the sports industry ecosystem in a targeted manner, and forming a way to reconstruct trust, the specific implementation path of the integration of BT and sports industry with mechanism as the core. This paper proposes blockchain network and data communication algorithms such as consensus algorithm, signature core algorithm, and practical Byzantine fault-tolerant algorithm to provide technical support for the application of blockchain technology in the sports industry ecosystem and, at the same time, provide technical support for blockchain network and data communication. The feasibility analysis of the application of the sports industry ecosystem is proposed, and the implementation path of the blockchain network and data communication to reconstruct the sports industry ecosystem is analyzed. Finally, the empirical test of the support of blockchain sports to the sports industry is carried out. By analyzing the panel data of 240 observations of 48 listed companies in 5 years as a sample of the sports industry, the experimental results show that the dominant modulus of the sample does not have other differences, and the leftovers all pass significance test at the 10% level at least, denoting that the fundamental sample is more rational.
“…Focus on cultivating brand soft power and enhance the comprehensive strength of domestic sports companies in terms of marketing concepts, value culture, and brand effects, so as to enhance the core competitive advantages of products, and enhance consumers' value recognition of domestic sports brands and consumer recognition of sports products [8]. On the one hand, focus on product development and technological innovation.…”
Section: Promote the Promotion Of Sports Brand Through Scientific Res...mentioning
In the context of continuous improvement and upgrading of big data technology, sports product marketing has ushered in new development opportunities, as well as difficulties and challenges. This article uses research methods of literature and logical analysis to sort out the development process of sports product marketing in the Internet era, analyze the opportunities and dilemmas of sports product marketing under the background of big data, and propose the use of scientific and technological research and development to promote sports brand promotion and online and offline integration promote optimization strategies such as market promotion and promotion of business model innovation with the big sports industry ecology.
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