Evolutionary game analysis of three stakeholders in big data trading market

Big data is emerging as a new productivity, which has led to a sharp increase in demand for data commodities. The particularity and complexity of data itself makes the developing data market still face some challenges. The existing research mainly addressed issues such as data privacy protection, data pricing and profit optimization, with little attention paid to the impact of the behavior of all parties in the data market on the market environment. Therefore, this paper aimed to explore the effective operation mechanism of the big data trading market. First, this paper gave a trading model of the data market where each party was selfish and their strategic selections influenced each other. Second, a three-party evolutionary game model of the big data market was constructed, then, we analyzed the conditions for the strategy stability of each participant in the data market and the optimal strategy under different conditions. Finally, a simulation experiment based on matlab carried out to verify the rationality and effectiveness of the model. The experimental results show that the selfish behavior of any party is not conducive to the healthy development of the market. Measures can be taken from the factors that affect the benefits of each participant to guide them to achieve a positive interaction.