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《Journal of Systems Engineering》 2018-06
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Study of the prediction model of industrial network based on the dynamical links

Wang Bin;Wang Wenping;Fei Weiyin;School of Mathematics and Physics, Anhui Polytechnic University;School of Economics and Management, Southeast University;  
Based on the industrial networks over the past years, this paper proposes a new methodology that can predict the likelihood of an existing link between any nodes in the future. With the aid of network analysis,a prediction model of the industrial network is built for Chinese input-output tables. Its prediction accuracy is compared with that of the similarity link prediction model. The results show that the industrial network topology structures are very close over the years. The link prediction model has good prediction accuracy as long as the parameters are selected reasonably according to orthogonal experimental design. Compared with the similarity link prediction algorithm, the proposed methodology reflects the importance of past information to the industrial network link prediction, and has better prediction results.
【Fund】: 安徽高校自然科学研究重点资助项目(KJ2018A0109);; 安徽工程大学引进人才科研启动基金资助项目(2018YQQ-022);; 国家自然科学基金面上资助项目(71873002);; 国家社会科学基金重大招标资助项目(12&ZD207)
【CateGory Index】: F121.3
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