上海交通大学学报(自然版)

• 自动化技术、计算机技术 • 上一篇    下一篇

基于电子邮件网络的人类动力学

郑紫元,汪小帆
  

  1. (上海交通大学 自动化系, 上海 200240)
  • 收稿日期:2010-06-03 修回日期:1900-01-01 出版日期:2011-02-28 发布日期:2011-02-28

Analytics of Human Dynamics in Email Networks

ZHENG Ziyuan,WANG Xiaofan
  

  1. (Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2010-06-03 Revised:1900-01-01 Online:2011-02-28 Published:2011-02-28

摘要: 研究了国内某高校电子邮件网络所反映的该高校人员收发电子邮件的行为规律.结果表明,已有的2种人类动力学模型——优先级队列模型和连贯非齐次泊松过程模型均不能较好地刻画该电子邮件网络的动力学行为.鉴于优先级队列模型对用户间统一行为模式的假设并不成立,连贯非齐次泊松过程也不能体现个体行为的无规则间断和动态演变特性,提出了基于时间序列聚类分析的分段连贯非齐次泊松过程模型,得到了较好的预测效果.

关键词: 电子邮件网络, 幂律分布, 连贯非齐次泊松过程, 聚类分析

Abstract: This article analyzed the email communication patterns of users reflected in a national university’s email network. It is shown that the two existed models, prioritybased queuing model and the cascading nonhomogeneous Poisson process model, both fail to describe properly the dynamic mechanism in the email network. The hypothesis in the prioritybased queuing model that users share a universal behavior pattern is unreasonable; besides the cascading nonhomogeneous Poisson process cannot embody the unexpected cessation or dynamic evolution in individual activities. Therefore, the clusteringanalysisbased segmented cascading nonhomogeneous Poisson process model is promoted which can produce better predictions.

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