Dr. Huifang Miao Profile

Dr. Huifang Miao

at Assumption Univ

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Proceedings Article | 20 December 2021 Paper

Marketing effect modeling analysis of fan economy based on random forest algorithm

Huifang Miao

Proceedings Volume 12128, 121280S (2021) https://doi.org/10.1117/12.2624569

KEYWORDS: Fluctuations and noise, Stars, Social networks, Reliability, Systems modeling, Televisions, Web 2.0 technologies, Manufacturing, Internet, Pollution

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The birth of social networking has opened up a new world for human access to information. It not only provides people with a new platform for communication, but also changes the ecology and evolution of network marketing. Based on the development of popular networks, the fan market emerges as the times require. Starting from the characteristics of fans on social networks, this paper explains that the marketing mode of fan economy in social networks has changed from the traditional single track chain mode to the three track circular network mode, and puts forward the marketing strategies for creating the communication single element of detonating the circle from communication thinking to social thinking, and managing the fans community from fans marketing to fans circle marketing. Based on this, combined with the random forest algorithm, the marketing effect model of fan economy is constructed and analyzed, and the actual investigation into the marketing effect of fan economy is carried out. The results show that the marketing effect model of an economy based on random forest algorithm has high practicability in the practical application process, and fully meets the research requirements.

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