摘要
人类自身的复杂性和多样性,导致人类行为具有高度的复杂性。经典的人类动力学分析认为人类行为时间性可以用泊松过程来描述,而Barabási发现人们从事特定活动的行为具有阵发和胖尾的特性。为验证人类行为时间间隔分布具有阵发特性及探寻阵发特性的影响因素,根据移动通信网络中人与人之间发短信的时间间隔分布,运用统计分析方法,进一步证实了人类行为的时间间隔分布具有阵发特性,发现该特性受到作息时间、节假日、地理位置、风俗习惯以及偶发性事件等因素的影响。
The complexity and diversity of human beings result in a high degree of complexity of human behavior.Classic analysis of human dynamics think that the timing of human behavior can be used to describe by the Poisson process,however,Barabási finds that the behavior of the specific activities has the characteristics of bursts and heavy tails.In order to verify the time interval distribution of human behavior has the characteristic of burst and explore its influence factor,this paper which based on the short message of the mobile communication network among people tells us the distribution of interval time has the property of bursts with the method of statistical analysis.Further analysis,this distribution affected by the holidays,location,customs,schedule and so on.
出处
《计算机技术与发展》
2010年第9期168-171,176,共5页
Computer Technology and Development
基金
国家自然科学基金项目(60874091)
关键词
人类动力学
复杂网络
阵发
时间间隔分布
human dynamics
complex network
burst
time interval distribution
