摘要： 针对现实社会网络中节点和连接的属性常随时间动态变化的问题，以偏好性依附理论为基础，通过分析节点和连接属性的动态特征，提出社会记忆网络模型，从而更准确地描述社会网络的动态演化过程，解释其中的新陈代谢现象。通过对比分析真实网络数据，对模型的有效性进行验证，并得出模型参数对网络拓扑结构的影响关系。

关键词: 动态社会网络, 社会记忆网络, BA模型, 偏好性依附

Abstract: Aiming at the problem that the properties of nodes and links in real social networks change dynamically with time, this paper proposes a Social Memory Network(SMN) model based on preference attachment theory by analyzing the dynamic properties of nodes and links in real social networks, so that the model can describe the evolution process of social networks more clearly, and explain the metabolism phenomena. Effectiveness of the model is validated by analyzing the model and data from real networks. The influence of model parameters on the topological structures of networks are concluded.

Key words: dynamic social network, Social Memory Network(SMN), BA model, preference attachment

中图分类号: 

• TP393