在线人类行为动力学中的肥尾特征  

The Heavy-tails in On-line Human Dynamic

作　　者：王澎[1,2] 汪秉宏[3,4] 

机构地区：[1]杭州师范大学 信息经济研究所,310036 [2]杭州师范大学阿里巴巴商学院,310036 [3]中国科学技术大学近代物理系,合肥230026 [4]上海理工大学 复杂系统科学研究中心,200093

出　　处：《上海理工大学学报》2012年第1期1-5,17,共6页Journal of University of Shanghai For Science and Technology

基　　金：国家重点基础研究发展计划资助项目(2006CB705500);国家自然科学基金重大研究计划资助项目(91024026);国家自然科学基金资助项目(10975126,10635040);高校博士点基金资助项目(20093402110032);浙江省自然科学基金资助项目(Y6110317)

摘　　要：回顾了最近有关在线人类行为动力学重要的实证结果:在线行为的时间间隔分布的肥尾特征.通过博客发文与维基修改记录等在线行为数据的实证结果,阐述了时间间隔分布的幂指数随着活跃性减小而递减的关系;进一步强调了在不同时间尺度上人类行为的时间间隔分布表现出来的异质性;最后总结和展望了这些特性对于未来研究在线群体演化的重要意义.The main result arising from recent studies on on-line human dynamics was reviewed. It concluded that the human activity has the heavy-tailed nature. Based on the empirical evidence from Blog-posting and Wiki-revising,it could be found that the distributions of the interevent time r de- cay powerlike as r increase at both individual and population levels. Furthermore, time scales and obtain heterogeneous decay exponents in the intra- and inter-day range were pointed out. In the end, the significance of these features for the further research on the evolution of its group was em- phasized.

关 键 词：在线用户行为 人类动力学 时间间隔分布 肥尾 

分 类 号：N94[自然科学总论—系统科学]