Complex network evolution game experimental platform based on PyQt5

The visualization of complex networks and their evolutionary games makes people have a clear understanding of network structure and complexity. Based on this, we design an online virtual laboratory platform, the platform is divided into two parts: front-end and back-end. The front-end is a desktop application development based on PyQt5, and the back-end is a C++ program that builds a network evolution game. The software realizes the visualization process of the network evolution game by setting parameters such as network and game type and calling the back-end program to run. In addition, in order to enrich the extended functions of the software, it also designs user registration and login, displays the running status, and start pause button to control the running status. Finally, according to the evolutionary game process, the proportion of cooperators in the snowdrift game on the scale-free network decreases over time.