Abstract
In the operation process of macroeconomic information intelligent mining algorithm, in the face of different data set types, there is the problem of long running time. In order to solve the above phenomenon, an intelligent macroeconomic information mining algorithm for social network is designed. Extract environmental factors, adjust the diversification of service content, describe the length of economic cycle, identify the performance characteristics of macroeconomic cycle, obtain the degree of distance between nodes, use social network to build mathematical model and design intelligent mining algorithm. Experimental results: the running time of the macroeconomic information intelligent mining algorithm in this paper and the other two algorithms are 22.210 s, 33.433 s and 33.082 s respectively, which proves that the designed macroeconomic information intelligent mining algorithm has better performance after making full use of social networks.
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References
Wang, Y., Wang, N.: Automatic early warning system of economic management benefit loss risk based on data mining. Autom. Instrum. (4), 133–136 (2020)
Hu, J.: Analysis on the application of data mining technology in economic statistical investigation. China Sci. Technol. Overv. (16), 20–21 (2021)
Gao, M.: National accounts in view of macroeconomic supply side. Stat. Res. 37(2), 15–25 (2020)
Yin, D., Zhang, W.: A review of current macroeconomic nowcasting research. Stat. Inf. Forum 35(1), 121–128 (2020)
Ma, Y., Zhang, Z.: Fixed assets information and macroeconomic growth forecasting. Account. Res. (10), 50–65 (2020)
Xiao, Q., Chen, H., Zhang, Y., et al.: The impacts of carbon tax on China’s macro-economy and the development of renewable energy power generation technology: based on CGE model with disaggregation in the electric power sector. China Environ. Sci. 40(8), 3672–3682 (2020)
Li, W., Jiao, J.: From the vacant, should-be to the reality: on the formation of macroeconomic regulation and control in China. J. Xiamen Univ. (Arts Soc. Sci.) (4), 22–38 (2020)
Wang, S., Fan, C.: Heterogeneity analysis of the impact of financial cycle on macroeconomic stability. Econ. Theory Bus. Manag. (10), 4–20 (2020)
Lu, J., Fan, Z., Liu, C.: Supply chain information oriented mining model based on TF-IDF algorithm. Comput. Simul. 38(7), 153–156, 349 (2021)
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Y. (2023). Intelligent Mining Algorithm of Macroeconomic Information for Social Network. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_14
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DOI: https://doi.org/10.1007/978-3-031-28867-8_14
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