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Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths

机译：中国煤炭价格指数与煤矿事故死亡人数的异步相关特征

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摘要

The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index and the number of deaths from coal mining accidents were selected as the sample data. The fluctuation modes of the asynchronous correlation between the two data sets were defined according to the asynchronous correlation coefficients, symbolization, and sliding windows. We then built several directed and weighted network models, within which the fluctuation modes and the transformations between modes were represented by nodes and edges. Then, the features of the asynchronous correlation between these two variables could be studied from a perspective of network topology. We found that the correlation between the price index and the accidental deaths was asynchronous and fluctuating. Certain aspects, such as the key fluctuation modes, the subgroups characteristics, the transmission medium, the periodicity and transmission path length in the network, were analyzed by using complex network theory, analytical methods and spectral analysis method. These results provide a scientific reference for generating warnings for coal mining accidents based on economic indices.
机译：事故指标与影响事故的因素之间的异步关联特征可以为煤矿事故的预警提供有效的参考。但是，这种关联的特征是什么？为了回答这个问题，我们选择了来自中国煤炭价格指数的数据和煤矿事故造成的死亡人数作为样本数据。根据异步相关系数，符号化和滑动窗口，定义了两个数据集之间的异步相关的波动模式。然后，我们建立了多个有向和加权的网络模型，其中波动模式和模式之间的转换由节点和边缘表示。然后，可以从网络拓扑的角度研究这两个变量之间异步相关的特征。我们发现，价格指数与意外死亡之间的相关性是异步且波动的。利用复杂网络理论，分析方法和频谱分析方法对网络的关键波动模式，子群特征，传输介质，周期性和传输路径长度等方面进行了分析。这些结果为基于经济指标的煤矿事故预警生成提供科学依据。

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