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Updated: Aug 20, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Research on false information clarification mechanism among government, opinion leaders, and Internet users - Based
Bowen Li1, Hua Li2, Qiubai Sun2
1School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China.
Abstract:
This article considers the government, opinion leaders, and Internet users to be a system for correcting false information, and it considers the problem of correcting false information that arises in the aftermath of major emergencies. We use optimal control theory and differential game theory to construct differential game models of decentralized decision-making, centralized decision-making, and subsidized decision-making. The solutions to these models and their numerical simulations show that the government, opinion leaders, and Internet users exercise cost-subsidized decision-making instead of decentralized decision-making. The equilibrium strategies, local optimal benefits, and overall optimal benefits of the system achieve Pareto improvement. Given the goal of maximizing the benefits to the system under centralized decision-making, the equilibrium results are Pareto-optimal. The research here provides a theoretical basis for dealing with the mechanism of correcting false information arising from major emergencies, and our conclusions provide methodological support for the government to effectively deal with such scenarios.
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