摘要
手机通话记录数据反映了人类的生活行为。基于数量庞大、类型繁多的移动数据,设计了多视图多粒度可视方式,对城市居民消费分布规律、个体活动轨迹、个体紧密社会关系网络进行分析;基于数据的时空属性,关联时空对比可视分析,对个体活动位置、活动范围等进行分析;在此基础上,设计并实现了移动通讯用户行为可视分析系统。结果表明,该系统在用户交互下能有效识别用户活动规律。
With the development of mobile communication technology,telephone and other means of communication quickly spread and produced a lot of data.The mobile phone call record data reflect the human life behavior with great research value.In view of the large amount of mobile communication data and the large number of data,a multi-view multi-granularity visualization method is designed to analyze the law of urban consumption distribution and individual moving trajectories.Based on the temporal and spatial attributes of data,a visual analytical method of temporal and spatial correlation contrast was proposed to analyze the individual activity position,activity range and activity mode.Visual analysis system of user behavior based on the mobile phone data was designed and realized.The test results show this system can effectively identify user activity rules in case of user interaction.
出处
《西南科技大学学报》
CAS
2017年第4期57-64,共8页
Journal of Southwest University of Science and Technology
基金
西南科技大学研究生创新基金资助(17ycx120)
关键词
通话记录
移动轨迹
社交网络
可视分析
Call detail records
Mobile trajectory
Social network
Visual analysis
