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Administrative Regions Discovery Based on Human Mobility Patterns and Spatio-Temporal Clustering

机译:基于人员流动模式和时空聚类的行政区域发现

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Currently, the understanding of the human mobility is an important challenge that has a large number of applications, especially in the study of a nation's ability to thrive economically and socially. Some works have shown that, it is possible to observe developed and developing countries reviewing their administrative regions borders, in order to reduce costs, or to solve ethnic claims and/or independence movements. In this context, the present work leverages mobile phone data to analyze human mobility patterns. Specifically, we propose a new method to detect administrative regions and paths of interaction between regions, both relying on subscribers mobility patterns extracted from Call Detail Records (CDR). Thus, our method offers a different point of view to redefine administrative boundaries.
机译:当前,对人类流动性的理解是一项重要的挑战,具有大量的应用,尤其是在研究一个国家在经济和社会上蓬勃发展的能力方面。一些工作表明,有可能观察到发达国家和发展中国家正在审查其行政区域的边界,以降低成本或解决种族主张和/或独立运动。在这种情况下,本工作利用手机数据来分析人类移动性模式。具体来说,我们提出了一种新的方法来检测管理区域和区域之间的交互路径,这都依赖于从呼叫详细记录(CDR)中提取的订户移动性模式。因此,我们的方法提供了不同的观点来重新定义管理边界。

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