Evolutionary game theory on complex networks provides an effective theoretical tool to explain the emergence of sustained cooperative behavior. Human society has formed various organizational networks. The network structure and individual behavior take on a variety of forms. This diversity provides the basis for choice, so it is crucial for the emergence of cooperation. This article provides a dynamic algorithm for individual network evolution, and calculates the importance of different nodes in the network evolution process. In the dynamic evolution simulation, the probability of the cooperation strategy and betrayal strategy is described. In the individual interaction network, cooperative behavior will promote the continuous evolution of individual relationships and form a better aggregative interpersonal network. The interpersonal network of betrayal has been in a relatively loose state, and its continuity must rely on the participation of new nodes, but there will be certain "weak links" in the existing nodes of the network.

复杂网络的进化博弈论为解释持续合作行为的出现提供了有效的理论工具。人类社会形成了各种组织网络。网络结构和个人行为呈现出多种形式。这种多样性提供了选择的基础，因此对于合作的出现至关重要。本文提供了个体网络演化的动态算法，计算了网络演化过程中不同节点的重要性。在动态演化模拟中，描述了合作策略和背叛策略的概率。在个体交互网络中，合作行为会促进个体关系的不断演化，形成更好的聚集性人际网络。