论文标题
人类流动网络的流动描述符
Flow descriptors of human mobility networks
论文作者
论文摘要
手机数据已使及时且细粒度的学习人类流动性。呼叫详细记录，在呼叫事件中产生，允许在不同的分辨率以及不同的空间，时间和社会粒度上对移动性进行描述。单个轨迹是长期观察流动模式和确定人类动态因素的基础。在这里，我们提出了一个系统的分析，以表征移动性网络流和拓扑并评估其对单个痕迹的影响。基于流动的描述符用于分类和理解多个尺度的人类迁移率模式。该框架适合评估城市规划，优化运输，衡量外部事件和条件的影响，根据其运动模式监控内部动力学和配置文件。
Mobile phone data has enabled the timely and fine-grained study human mobility. Call Detail Records, generated at call events, allow building descriptions of mobility at different resolutions and with different spatial, temporal and social granularity. Individual trajectories are the basis for long-term observation of mobility patterns and identify factors of human dynamics. Here we propose a systematic analysis to characterize mobility network flows and topology and assess their impact into individual traces. Discrete flow-based descriptors are used to classify and understand human mobility patterns at multiple scales. This framework is suitable to assess urban planning, optimize transportation, measure the impact of external events and conditions, monitor internal dynamics and profile users according to their movement patterns.
