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计算机工程 ›› 2010, Vol. 36 ›› Issue (10): 11-13.doi: 10.3969/j.issn.1000-3428.2010.10.003

• 博士论文 • 上一篇    下一篇

记忆特性导致的社会网络结构动态变化

高 霖1,2，刘际明2，张世武1，杨 杰1   

  1. (1. 中国科学技术大学精密机械与精密仪器系，合肥 230027；2. 香港浸会大学计算机系，香港)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-20 发布日期:2010-05-20

Dynamic Changes of Social Network Structure Caused by Memory Characteristics

GAO Lin1,2, LIU Ji-ming2, ZHANG Shi-wu1, YANG Jie1   

  1. (1. Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027;2. Computer Science Department, Hong Kong Baptist University, Hong Kong)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-20 Published:2010-05-20

PDF

874

被引次数

12 | 2

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

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