计量经济学小白求助这是啥模型，分别代表了什么意思

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文章内容说是通过参考距离分析，以概率的方式引入了依赖性分析，但是我具体不知道是啥方法，而且数字、颜色和线条长度分别是什么意思


这里附上这一段的英语原文,原文和图片都已上传附件，谢谢！

    We also introduced dependency analysis in a probabilistic way by [size=7.9701pt]referring to distance analysis in order to corroborate the correlation [size=7.9701pt]results. From this perspective, it emerges that the distances indicate the [size=7.9701pt]systemic importance of emerging Asian countries, whose driving force in [size=7.9701pt]the world is quite important, followed in second place by countries in [size=7.9701pt]the MENA region.
    The development of dependencies in terms of distance can facilitate [size=7.9701pt]the construction of networks of relationships between countries. We put [size=7.9701pt]into perspective the network of minimum distances, a subgraph con[size=7.9701pt]necting all the nodes in which the total length of the edges is minimized.
    These networks will allow us to measure the systemic nature of global [size=7.9701pt]areas. Especially since we know that, according to the theory of financial [size=7.9701pt]stability and systemic risk, systemic importance is of several forms [size=7.9701pt]namely: interconnection, size and similar exposure. In our context, the [size=7.9701pt]impact of a country or agglomeration of countries depends on its adja[size=7.9701pt]cent character (importance by interconnection).
    In addition, proximity is measured by the distance of the components [size=7.9701pt]between them. Thus, a high proximity value implies that the node is [size=7.9701pt]central or large (by size). Similarly, the interval of a node measures how [size=7.9701pt]often that node appears on the shortest path between two other nodes in [size=7.9701pt]the graph. A high interval value implies that the node is large (by similar [size=7.9701pt]exposure or frequency).
    The calculation of these measurements in our relational network [size=7.9701pt]produces the results presented in [size=7.9701pt]Fig. 4[size=7.9701pt]. We note that MENA, Asia and
Europe have the highest values for all centrality measures. The most [size=7.9701pt]systemic areas are in red.[size=7.9701pt]The analysis of the figure above indicates that the interconnection of [size=7.9701pt]MENA countries and Centre Asia are the most interconnected in the [size=7.9701pt]world in terms of trade and the same is true in the financial sector.
    While, in terms of importance by size and frequency, we find the [size=7.9701pt]advanced countries (including the Euro countries) and the MENA
countries. 4月20日MaPP前哨观察-《结构性冲击改变了系统性风险》(1).pdf (3.61 MB)

2022-4-22 21:28:35 上传

原文，具体段落已标黄

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关键词：计量经济学 计量经济 经济学 relationship Measurements

    第一次发帖，英语部分发乱了，重新发现
    We also introduced dependency analysis in a probabilistic way by referring to distance analysis in order to corroborate the correlation results. From this perspective, it emerges that the distances indicate the systemic importance of emerging Asian countries, whose driving force in the world is quite important, followed in second place by countries in the MENA region.
    The development of dependencies in terms of distance can facilitatethe construction of networks of relationships between countries. We put into perspective the network of minimum distances, a subgraph connecting all the nodes in which the total length of the edges is minimized.
    These networks will allow us to measure the systemic nature of global areas. Especially since we know that, according to the theory of financial stability and systemic risk, systemic importance is of several forms namely: interconnection, size and similar exposure. In our context, the impact of a country or agglomeration of countries depends on its adjacent character (importance by interconnection).
    In addition, proximity is measured by the distance of the components between them. Thus, a high proximity value implies that the node is central or large (by size). Similarly, the interval of a node measures how often that node appears on the shortest path between two other nodes in the graph. A high interval value implies that the node is large (by similar exposure or frequency).
    The calculation of these measurements in our relational network produces the results presented in Fig. 4. We note that MENA, Asia and
Europe have the highest values for all centrality measures. The most systemic areas are in red.The analysis of the figure above indicates that the interconnection of MENA countries and Centre Asia are the most interconnected in the world in terms of trade and the same is true in the financial sector.
    While, in terms of importance by size and frequency, we find the advanced countries (including the Euro countries) and the MENA
countries.