信任是影响电子商务产业发展的一个重要因素。针对电子商务社区的信任问题,提出了一种基于信任度的社区聚类模型,利用网络社区主体的间接信任和直接信任计算出主体相对于其它主体的信任值,并进一步基于信任值提出社区的信任聚类算法。仿真结果表明,该聚类模型具有较高的精度和收敛性,能够较好地反映电子商务社区中主体之间的信任关系。 Trust is an important factor affecting the development of the e-commerce industry. Aiming at the trust problem of e-commerce community, this paper proposes a community clustering model based on trust degree. It uses the indirect trust and direct trust of the network community to calculate the trust value of the subject relative to other subjects, and further proposes community based on the trust value. Trust clustering algorithm. The simulation results show that the clustering model has high accuracy and convergence, and it can reflect the trust relationship among the entities in the e-commerce community.