论地缘社会流动痕迹的有效性

Zengbin Zhang, Lin Zhou, Xiaohan Zhao, G. Wang, Yu Su, Miriam J. Metzger, Haitao Zheng, Ben Y. Zhao
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引用次数: 57

摘要

长期以来,移动网络研究人员一直在寻找大规模、细粒度的人类运动痕迹,但由于隐私和后勤方面的原因,这些痕迹一直难以捉摸。最近,研究人员开始关注地理社会流动痕迹,例如Foursquare签到痕迹,因为它们的可用性和规模。但我们是否在对数据的狂热中承认了正确性?在本文中,我们采取初步步骤,使用从用户研究中收集的大型地面真实数据集来量化地理社会数据集的价值。通过比较GPS追踪和Foursquare签到记录,我们发现签到记录中遗漏了大部分访问过的地点,而且大多数签到事件要么是伪造的,要么是多余的事件。我们描述了无关的签入,描述了检测它们的可能技术,并显示了无关的和缺失的签入都会给由这些跟踪驱动的应用程序引入重大错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the validity of geosocial mobility traces
Mobile networking researchers have long searched for large-scale, fine-grained traces of human movement, which have remained elusive for both privacy and logistical reasons. Recently, researchers have begun to focus on geosocial mobility traces, e.g. Foursquare checkin traces, because of their availability and scale. But are we conceding correctness in our zeal for data? In this paper, we take initial steps towards quantifying the value of geosocial datasets using a large ground truth dataset gathered from a user study. By comparing GPS traces against Foursquare checkins, we find that a large portion of visited locations is missing from checkins, and most checkin events are either forged or superfluous events. We characterize extraneous checkins, describe possible techniques for their detection, and show that both extraneous and missing checkins introduce significant errors into applications driven by these traces.
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