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Characterizing and modeling the distance of mobile calls: A metropolitan case study

机译：表征和建模移动电话的距离：一个大城市案例研究

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During the past few years, with the democratization of open data, mobile network operators facilitated the sharing of mobile datasets. Such data are particularly interesting to better understand the way mobile users communicate, move and consummate services, but also to rethink the design or the evolution of current infrastructures with respects to new information and communication technologies and continuous increase of mobile usage. In this paper, we analyze a mobile dataset from a telecommunication provider in the city of Milan, Italy, and characterize mobile users' behavior. We show that, on the scale of the city, the number of short distance calls is massively higher than the number of long distance calls. Based on these observations, we propose a realistic yet simple model to describe the distance distribution of the calls in such a metropolitan environment. Finally, we focus on a specific area of the city, the soccer stadium area, and show that local events provoke regular deviation to the observed behaviors on the scale of the city. The macroscopic model we propose can be used to generate mobile datasets for any large city and thus support further simulations.
机译：在过去的几年中，随着开放数据的民主化，移动网络运营商促进了移动数据集的共享。这样的数据对于更好地理解移动用户通信，移动和完善服务的方式特别有趣，而且对于新信息和通信技术以及移动使用的持续增长，也需要重新考虑当前基础架构的设计或发展。在本文中，我们分析了意大利米兰市一家电信提供商的移动数据集，并描述了移动用户的行为。我们证明，在城市规模上，短途电话的数量大大高于长途电话的数量。基于这些观察，我们提出了一个现实而又简单的模型来描述这种大城市环境中呼叫的距离分布。最后，我们将重点放在城市的特定区域（足球场区域）上，并表明本地事件会引起与城市规模上观察到的行为的定期偏离。我们建议的宏观模型可用于生成任何大城市的移动数据集，从而支持进一步的仿真。

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