基于复杂网络的数据双方交易监管演化博弈研究
Research on the Evolutionary Game of Bilateral Data Transaction Supervision Based on Complex Networks

In order to better explore the evolution mechanism of data transaction cooperation behavior between data owners and users in the data property rights system, a complex bipartite graph network is used to simulate the asymmetric topological characteristics of real networks. Combined with evolutionary game theory, a two-group asymmetric game evolution model with government supervision between data owners and data users is constructed, and numerical simulation is conducted to identify the main factors affecting the adoption of different strategies by both parties in the transaction, and to improve the cooperation level of both parties in the data transaction. The results indicate that an increase in regulatory efforts and antitrust penalties, as well as a decrease in monopoly profits, can promote the emergence of cooperative behavior between data trading parties; The increase in infringement penalties, compensation, and the probability of winning a lawsuit for infringement and compensation has a positive impact on the cooperative behavior of users, but it will inhibit the cooperative behavior of owners; The increase in reasonable fees may increase the cooperation density among owners, but it will decrease the cooperation density among users.