全球范围的人类移动测量
Planet-scale Human Mobility Measurement
摘要：
移动系统和算法的研究、设计和构建需要访问大规模的移动数据。不幸的是，无线和移动研究界缺乏这样的数据。例如，最大的可用人类接触痕迹仅包含100个节点，连接非常稀疏，受到实验物流的限制。在本文中，我们向社区提出了一个挑战：我们如何从数十亿人类参与者中收集移动数据？我们重申了大规模数据集在通信网络设计中的重要性，并声称这可能会影响其他学科的基础研究。实际上，我们认为行星尺度的流动性测量可以帮助拯救世界。例如，通过了解大规模的人员流动，我们可以跟踪和建模并遏制各种流行病的传播。
英文摘要：
Research into, and design and construction of mobile systems and algorithms requires access to large-scale mobility data. Unfortunately, the wireless and mobile research community lacks such data. For instance, the largest available human contact traces contain only 100 nodes with very sparse connectivity, limited by experimental logistics. In this paper we pose a challenge to the community: how can we collect mobility data from billions of human participants? We re-assert the importance of large-scale datasets in communication network design, and claim that this could impact fundamental studies in other academic disciplines. In effect, we argue that planet-scale mobility measurements can help to save the world. For example, through understanding large-scale human mobility, we can track and model and contain the spread of epidemics of various kinds.
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。
