计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 24-27.doi: 10.11896/j.issn.1002-137X.2016.06.004
张杰斌,秦红
ZHANG Jie-bin and QIN Hong
摘要： 人类日常行为活动在生活的各个方面普遍存在。个体行为活动类型多样且个体之间行为差异明显,人类行为显示出高度复杂性。利用微博用户发布微博所产生的时间数据来研究用户的时间行为模式,研究发现个体用户时间间隔的统计特征主要服从幂律、指数和双模3种分布函数；并提出了基于任务队列的个体用户行为动力学模型,解释了用户发布微博的时间间隔分布特征。
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