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English and Chinese language frequency time series analysis
  • ISSN号：1001-6538
  • 期刊名称：Chinese Science Bulletin
  • 时间：0
  • 页码：3717-3722
  • 分类：O211.61[理学—概率论与数理统计;理学—数学] TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]LUNAM UniversitY, ISMANS, Laboratoire de Physique Statistique et Systemes Complexes, 44, Ave. Bartholdi, 72000 Le Mans, France, [2]Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, China, [3]LUNAM UniversitY, Universite du Maine, LPEC, UMR CNRS 6087, 72085 Le Mans, France, [4]Max-Planck-lnstitutefor Mathematics in the Sciences, Leipzig 04103, Germany
  • 相关基金：supported by the National Natural Science Foundation of China （10647125, 10635020, 10975057 and 10975062）; the Program of Introducing Talents of Discipline to Universities （B08033）; the PHC CAI YUAN PEI Program （LIU JIN OU [2010] No. 6050） （2010008104）
  • 相关项目：基于复杂网络的传播系统中临界性与适应性研究
作者： Deng Webing|Wang Dujuan|Li Wei|Wang Qiuping Alexandre|
关键词： 时间序列分析, 频率, 语言, 中文, 英文, 统计假设检验, 非线性特性, 长程相关性, language time series, self-similarity, Hurst exponent, long range correlation, intermittency
中文摘要：

英语和中国语言频率时间系列(LFTS ) 基于英国人和二篇中国小说被构造。统计假设测试的方法被采用测试 LFTS 的非线性的性质。结果建议展出的系列非正常，汽车关联词，和静止特征。而且，我们发现 LFTS 跟随幂定律分布，并且从而，我们调查了分数维的结构，长期的关联，和 intermittency，它显示了 LFTS 的自我类似特征，并且也提供了人的社会是可能的分享一些通用性质的提示。

英文摘要：

English and Chinese language frequency time series （LFTS） were constructed based on an English and two Chinese novels. Methods of statistical hypothesis testing were adopted to test the nonlinear properties of the LFTS. Results suggest the series exhibited non-normal, auto-correlative, and stationary characteristics. Moreover, we found that LFTS follow the power law distributions, and thereby we investigated the fractal structure, long range correlation, and intermittency, which indicated the self-similarity features of LFTS, and also provided hints that human societies are likely to share some universal properties.

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