使用Linux命令历史记录测试基于优先级的队列模型
Testing a priority-based queue model with Linux command histories
摘要：
我们通过分析Linux历史文件来研究人类动力学。拟合优度检验表明，大多数收集到的数据集属于文献中建议的普适性类，通过基于优先级的变长排序过程。为了检验这个模型的有效性，我们设计了两个测试的基础上互信息的时间间隔和数学关系称为反正弦定律。由于先前建议的模拟过程未能通过这些测试，结果表明，人体动力学的建模应适当考虑时间维度的统计依赖性。
英文摘要：
We study human dynamics by analyzing Linux history files. The goodness-of-fit test shows that most of the collected datasets belong to the universality class suggested in the literature by a variable-length queueing process based on priority. In order to check the validity of this model, we design two tests based on mutual information between time intervals and a mathematical relationship known as the arcsine law. Since the previously suggested queueing process fails to pass these tests, the result suggests that the modelling of human dynamics should properly consider the statistical dependency in the temporal dimension.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
