Research on Power Law Distribution of Supply Chain Network from the Perspective of Multi-Agent Game:Taking China's New Energy Vehicle Parts Industry as An Example
In order to explore the evolution trend of power-law distribution in supply chain networks and address the shortcomings of evolutionary game theory in studying the phenomena of power-law distribution mutations and stable distributions,an improved analysis is conducted on the changes in mutation utility matrix and node strategy selection probability based on the selection drift dynamics model.By using the optimized values of the utility matrix and the probability of behavior strategy transition obtained,combined with the new energy vehicle component data provided by China National Knowledge Infrastructure(CNKI),experimental simulations are conducted.The main research objective is to analyze the changes in the power-law distribution characteristics of the supply chain network under the influence of an improved selection drift dynamics model,with the dataset from 2018 to 2021.The results indicate that the proportion of different behavioral strategies will affect the evolutionary trend of the power-law distribution in the network;There exists an optimal tuning parameter that prevents the occurrence of power-law distribution phase transitions during the evolution of the network,and makes the distribution of the network more stable.
power law distributionevolutionary gamechoice-drift dynamicsmulti-agent
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