IJSEA Volume 12 Issue 8

Computer-Aided Clustering Analysis of Short-Term Interactive Data of Industry Microblog Marketing Effect and Number of Fans Based on Quantum Evolutionary Game Algorithm

Chen Feng
10.7753/IJSEA1208.1036
keywords : Computer-Aided Clustering Analysis, Short-Term Interactive Data, Industry Microblog Marketing Effect? Quantum Evolutionary Game Algorithm

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An equilibrium reduction algorithm of attribute quantum game based on population mixed cooperative alliance is proposed. The algorithm establishes a population co-evolution alliance model based on adaptive multi-layer evolutionary tree, and realizes the co-evolution of various groups by the hybrid synergistic mechanism of individual competition within the population and elite cooperation among the population. According to the AISAS model, the influence of corporate microblog marketing There are complex processes such as amplification and attenuation of power, and the number of followers of a company's Weibo is an important factor to measure the marketing effect. To study the quantitative relationship between the influence of corporate Weibo marketing and the number of fans, on the basis of collecting and sorting out the real data of 10 typical corporate Weibo marketing cases on Sina Weibo. In the analysis and processing, in the face of the rapidly increasing database, the phenomenon of "rich data, lack of knowledge" appears.
@artical{c1282023ijsea12081036,
Title = "Computer-Aided Clustering Analysis of Short-Term Interactive Data of Industry Microblog Marketing Effect and Number of Fans Based on Quantum Evolutionary Game Algorithm",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="112 - 114",
Year = "2023",
Authors ="Chen Feng"}