摘要
基于网上博客评论的数据统计,给出评论时间间隔分布的实证研究,发现人们对于某个话题的兴趣逐渐消失,评论的时间间隔服从幂律分布。根据这个特征,提出了一个兴趣逐渐消失的人类行为动力学模型,用非齐次Poisson过程对模型进行严格分析,获得事件的时间间隔分布的解析表达式。结果表明,该模型的时间间隔服从幂律分布,幂律指数由两个参数调节,其范围在区间(1,∞)中,理论预测和实证结果相吻合。
Based on data statistics of online comments on Blog posts,this paper first presented an empirical study of a comment arrival-time interval distribution.Found that people interested in some subjects gradually disappear and the interval distribution was a power law.According to this feature,this paper proposed a model with gradually decaying interest.Gave a rigorous analysis on the model by non-homogeneous Poisson processes and obtained an analytic expression of the interval distribution.The analysis indicates that the time interval between two consecutive events follows the power-law distribution with a tunable exponent,which can be controlled by the model parameters and is in interval（1,＋∞）.The analytical result agrees with the empirical results well,obeying an approximately power-law form.The model provides a theoretical basis for human behaviour dynamics of comments on Blog posts.
出处
《计算机应用研究》
CSCD
北大核心
2011年第4期1422-1424,1433,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(70871082)
上海市重点学科建设资助项目(S30504)
