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Analyses on the Authority Migration and Geographical Context in Progeny Networks

机译:后代网络中的权威迁移与地理环境分析

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We used social network analysis to understand the jurisdiction relationship between companies, in addition to employing a geographic information system to determine whether the companies include geographical considerations during investment. Industry and Commerce Registration data provided by the Taiwanese government were used to model a new approach for overcoming business concerns, such as the problem of companies with cross-shareholdings being unable to quantify their individual jurisdictions through holding ratios. Using progeny networks, we explored whether geographical correlations exist between cross-shareholding companies. On the basis of our results, we made the following conclusions: 1. Without considering interlocking relationships, registered companies are distributed randomly. 2. Interlocking companies are associated with high levels of spatial clustering in the spatial context; furthermore, shareholding companies consider the geographic locations of other companies for investment. 3. Corporate power migration through a progeny network is effective. 4. The applied approach can determine the structure of a company that conceals its control power behind other companies through directly investing in such companies. 5. The methodologies adopted in this study can be applied to various fields to discover problems related to social networks and power migration within a geographical context.
机译:除了使用地理信息系统确定公司在投资过程中是否考虑地理因素之外,我们还使用社交网络分析来了解公司之间的管辖权关系。台湾政府提供的工商注册数据用于为解决业务问题(例如交叉持股的公司无法通过持股比例来量化其各自辖区的问题)建立新方法的模型。使用子代网络,我们探讨了交叉持股公司之间是否存在地理相关性。根据我们的结果,我们得出以下结论:1.在不考虑连锁关系的情况下,注册公司是随机分布的。 2.连锁公司在空间环境中与高水平的空间聚类相关联;此外,股份公司考虑其他公司的地理位置进行投资。 3.通过子代网络进行公司权力迁移是有效的。 4.所采用的方法可以确定通过直接投资于其他公司而将其控制权隐藏在其他公司之后的公司结构。 5.本研究采用的方法可以应用于各个领域,以发现与地理环境内的社会网络和权力迁移有关的问题。

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