Abstract
Aiming at the sports information service platform of communication subject, communication object and media are analyzed, on this basis from the perspective of statistics in sports as an example to analyze the characteristics of information and channel sink. By using the analytic hierarchy process, from the network sports information content, audience experience, network sports information organization and dissemination of sports information and network environment in four aspects construct the sports information dissemination model evaluation index system, and determine the weight of each index. The results show that: the premise of sports information dissemination model based on network technology in order to serve the public, the right to guide the public to build a harmonious sports information network for the purpose of the business model, to the development of sports website, expand business partners, re positioning the sports network station commercial operation mode, break the old ideas, improve the connotation of operation mode sports website.
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References
Ibrahim MS, Kasim S, Hassan R et al (2018) Information technology club management system. Acta Electronica Malaysia 2(2):01–05
Thiruchelvam S, Ismail MF, Ghazali A et al (2018) Development of humanitarian supply chain performance conceptual framework in creating resilient logistics network. Malays J Geosci 2(1):30–33
Huang F (2018) Research on the business communication barriers and countermeasures in the network environment. Educ Sustain Soc 1(1):14–16
Hambrick ME (2012) Six degrees of information: using social network analysis to explore the spread of information within sport social networks. Int J Sport Commun 5:16–34
Yao HJ, Yuan FS (2018) Exponential stability control for networked systems with interval distribution time delays. Acta Informatica Malaysia 2(1):07–09
Rastogi S, Shivani Choudhary S (2019) Face recognition by using neural network. Acta Informatica Malaysia 3(2):07–09
Wang B (2012) Features of sports information spreading on the internet. In: IBI 2011. Communications in Computer and Information Science, Springer, Berlin Heidelberg 176–180
Su W (2015) Spread of Xiamen community sports under the national fitness. Contemporary Sports Technology 32:192–192
He Y, Dai L, Zhang H (2020) Multi-Branch deep residual learning for clustering and beamforming in user-centric network. IEEE Commun Lett 24(10):2221–2225
Zhang Y, Liu F, Fang Z,Yuan B, Zhang G,Lu J (2021) Learning from a complementary-label source domain: theory and algorithms. In IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2021.3086093
Li B, Xiao G, Lu R et al (2020) On feasibility and limitations of detecting false data injection attacks on power grid state estimation using D-FACTS devices. IEEE Trans Industr Inf 16(2):854–864
Murwatiningsih, Oktarina N, EndahWahyuningsih S et al (2019) Creating the entrepreneurial networking through the business superiority and adaptability of business environment to improve the marketing performance. Malays E-Commerce J 3(2):36–40
Shao Y, Lu J, Li C, Feng T, Lin Y, Shen M, Shi T (2020) Qualitative research on living status of older autistic families in Jiaxing City. Cult Commun Social J 1(2):18–20
Liu C, Jing H, Yuan M (2020) A research on the present situation of spiritual belief of postgraduate. Educ Sustain Soc 3(1):5–7
Yang A (2020) Alienation and aesthetical salvation of everyday life in the house of the seven gables. Cult Commun Social J 1(1):1–4
Khan AH (2020) Preventing the transition of corona through science & technology: Globally integrated society towards positive change. Cult Commun Social J 1(1):13–15
Li AQ, Wang XF (2010) Features and trend of sport information communication in Chinese portal web sites. J Jilin Inst Phys Educ 26(4):01–04
Zhang ZG, Xu CL, Zhao RX et al (2012) Based on the analysis of the problems of network sports information communication. Contemp Sports Technol 02(8):87–88
Wang XF (2014) Multi factor analysis on the influencing factors of sports information dissemination in China’s large portal websites. Sports Cult Guid 11:191–194
Li H (2013) The integration of communication mode and sport. News World 5:104–105
Yi H (2021) Secure social internet of things based on post-quantum blockchain. In IEEE transactions on network science and engineering. https://doi.org/10.1109/TNSE.2021.3095192
Zhang J, Shen C, Su H, Arafin MT, Qu G (2021) Voltage over-scaling-based lightweight authentication for IoT security. IEEE Trans Comput 71(2):323–336. https://doi.org/10.1109/TC.2021.3049543
Li B, Liang R, Zhou W,Yin H,Gao H,Cai K (2021) LBS meets blockchain: An efficient method with security preserving trust in SAGIN. IEEE Internet Things J 9(8):5932–5942. https://doi.org/10.1109/JIOT.2021.3064357
Shan FJ, Wang ZW, Xie W (2006) The impact of China’s Volleyball League attendance factors and countermeasure research. J Harbin Inst Phys Educ 24(3):92–94
Lee S, Walsh P (2011) SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport Manag Rev 14(4):361–369
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Shao, G. Sports Information Communication Model Based on Network Technology. Mobile Netw Appl 27, 1987–1994 (2022). https://doi.org/10.1007/s11036-022-01969-9
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DOI: https://doi.org/10.1007/s11036-022-01969-9