Public Policy Simulation Based on Online Social Network: Case Study of Chinese Circuit Breaker Mechanism
This paper presents a public policy simulation method established based on the structure and function of online social networks. The simulation technique draws on Markov switching methodology and includes data collection and parameter extraction. Two parameters are crucial to operating the simulation: the initial attitude matrix and the attitude transition probability matrix. Simulation results are obtained via iterative operation of these matrices until reaching equilibrium. This kind of processing method provides a good way to combine the simulation analysis and empirical situation. A case study on the hotly debated “circuit breaker mechanism” policy was conducted to verify the effectiveness of the proposed method. The simulation results suggested that the circuit breaker mechanism is infeasible; the fact that the policy was indeed formally terminated confirms the effectiveness of the simulation method.
KeywordsPublic policy simulation Sentiment classification Markov switching method
Funds for this research was provided by the National Natural Science Foundation of China (NSFC)71403262; 71573247; 91024010; 91324009; 71503246.
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