多设备互联网用户移动性的实证表征
Empirical Characterization of Mobility of Multi-Device Internet Users
摘要：
了解人类及其设备的移动性是移动计算中的一个基本问题。虽然已经有很多工作的经验分析人类的移动性使用移动终端的数据，以前的工作在很大程度上假设设备是独立的，并没有考虑现代互联网用户拥有多个移动设备，表现出相关的移动模式的影响。此外，以前的工作已经分析了底层移动数据集的空间尺度上的移动性，并没有分析不同空间尺度上的移动性特征及其对系统设计的影响。在本文中，我们实证分析了现代互联网用户拥有多个设备在多个空间尺度上使用大型校园WiFi数据集的移动性。首先，我们的研究结果表明，属于一个用户的多个设备的移动性需要作为一个组进行分析和建模，而不是独立的，并且也需要考虑的用户之间的设备轨迹所表现出的相关性有很大的差异。其次，我们的分析表明，用户的移动性在不同的空间尺度上，如建筑物内和跨建筑物表现出不同的特点。第三，我们展示了这些结果的影响，提出生成模型，强调考虑空间尺度的流动性以及多设备的流动性的重要性。更广泛地说，我们的实证结果指出，需要新的建模研究，以充分捕捉现代多设备用户的移动性的细微差别。
英文摘要：
Understanding the mobility of humans and their devices is a fundamental problem in mobile computing. While there has been much work on empirical analysis of human mobility using mobile device data, prior work has largely assumed devices to be independent and has not considered the implications of modern Internet users owning multiple mobile devices that exhibit correlated mobility patterns. Also, prior work has analyzed mobility at the spatial scale of the underlying mobile dataset and has not analyzed mobility characteristics at different spatial scales and its implications on system design. In this paper, we empirically analyze the mobility of modern Internet users owning multiple devices at multiple spatial scales using a large campus WiFi dataset. First, our results show that mobility of multiple devices belonging to a user needs to be analyzed and modeled as a group, rather than independently, and that there are substantial differences in the correlations exhibited by device trajectories across users that also need to be considered. Second, our analysis shows that the mobility of users shows different characteristics at different spatial scales such as within and across buildings. Third, we demonstrate the implications of these results by presenting generative models that highlight the importance of considering the spatial scale of mobility as well as multi-device mobility. More broadly, our empirical results point to the need for new modeling research to fully capture the nuances of mobility of modern multi-device users.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
