摘要
一直以来,学者们认为人类在社会及经济活动中的行为发生时间,可以简单地用泊松分布来描述。泊松分布在电话交换机呼叫的计数问题、银行柜台客户到达数目等方面有非常广泛的应用。但近年来,Albert Barabási等人通过对现实中数据进行大量的实证研究发现:人类行为发生时间并不符合均匀的泊松分布,而是服从有胖尾的幂律分布,也就是说,有少量的行为发生的时间间隔很长。Alexei Vázquez和Albert Barabási等通过建立优先任务排队论,提出了两个普适类的幂指数标度。在此基础上,用幂律理论对维基百科上一万多个用户的登录数据,进行统计分析后,发现所得到的幂指数除了符合两个普适类外,还存在着第三个幂指数标度。
For a long time,scholars believed that the social and economic activities of human behavior in the time of occurrence,we can simply use the Poisson distribution to describe.Poisson distributed in the telephone exchange calls counting problems,bank counters in the number of clients to reach a very wide range of applications.But in recent years,Albert Barabási and others by the real data,a large number of empirical studies found that: time of occurrence of human behavior does not comply with uniform Poisson distribution,but rather to submit to a heavy-tailed power-law distribution,that is,a small amount of behavior occurred at a time interval is very long.Alexei Vázquez,and Albert Barabási such as through the establishment of priority queuing theory,put forward two universality class of the exponential scale.On this basis,using power-law theory in Wikipedia Over ten thousand user's login data,conduct statistical analysis found that the resulting power index in addition to satisfying the two universality class,but also the existence of a third exponential scale.
出处
《科学学研究》
CSSCI
北大核心
2010年第10期1454-1458,共5页
Studies in Science of Science
关键词
人类动力学
维基百科
幂律分布
human dynamics
Wikipedia
power-law distribution