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Evolutionary Analysis of Game Behavior Interaction Between E-Commerce Platform’s Regulation and Influencer’s Content Production Based on Prospect Theory

Li Bai et al.

International Game Theory Review2026https://doi.org/10.1142/s0219198926500027article
AJG 1ABDC B
Weight
0.50

Abstract

In recent years, with the rapid growth of China’s e-commerce economy, complaints about illegal content posted on platforms have also increased significantly. How to effectively regulate the behaviors of influencers is a key issue in the regulatory management of e-commerce platforms (ECPs). This study uses evolutionary game theory and prospect theory to conduct theoretical research and modeling on the regulatory behaviors of ECP and the content production behaviors of the influencers. The evolutionary dynamic system is numerically simulated and analyzed using phase diagrams and time series diagrams. The evolutionary system stability and impact relationship of game behavior interaction between ECP and influencers are studied in various scenarios, and some suggestions for ECP’s regulation and influencers’ producing behaviors are proposed.

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https://doi.org/https://doi.org/10.1142/s0219198926500027

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@article{li2026,
  title        = {{Evolutionary Analysis of Game Behavior Interaction Between E-Commerce Platform’s Regulation and Influencer’s Content Production Based on Prospect Theory}},
  author       = {Li Bai et al.},
  journal      = {International Game Theory Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1142/s0219198926500027},
}

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Evolutionary Analysis of Game Behavior Interaction Between E-Commerce Platform’s Regulation and Influencer’s Content Production Based on Prospect Theory

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.