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Analysis of the determinism of time-series extracted from social and biological systems

机译:从社会和生物系统中提取的时间序列的确定性分析

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Self-organizing systems arise in many different fields. In this work we analyze data from social and biological systems. A central question is to demonstrate the presence of the determinism in time-series extracted from such systems that appear apparently not correlated but that are two good benchmarks for the study of complexity in real systems. We will apply the Kaplan test and we will define an order parameter for the biological data to characterize the complexity of the system.
机译:自组织系统出现在许多不同的领域。在这项工作中,我们分析了来自社会和生物系统的数据。一个中心问题是要证明从这样的系统中提取的时间序列中存在确定性,这些时间看似似乎并不相关,但它们是研究实际系统复杂性的两个很好的基准。我们将应用Kaplan测试,并为生物学数据定义一个顺序参数,以表征系统的复杂性。

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