面向用户行为理解的移动通讯数据可视分析

通信数据包含人类活动的时空以及社会关系等信息，对人类行为分析有重要的价值.为了帮助分析者对用户的行为进行分析和理解，构建了从通信数据中探索用户的时空、社交等信息以分析用户行为的可视化流程，旨在理解用户的行为模式并通过行为的对比发现用户的社会角色以及用户之间的真实社交关系，通过迭代式交互过程，对用户不同时段的行为进行有效的理解和分析.在此基础上，构建了用户行为可视分析系统，采用半年的通信数据对该方法以及系统进行评估，结果显示，本方法能够有效理解个人行为、识别用户之间的关系.

Mobile data visual analysis for human activity understanding

Mobile data imply various information, including spatio-temporal characteristics and the social relationship of human activities, which have great value for human behavior exploration. In order to analyze and understand the activities of mobile users, a mobile data visual analytics framework is proposed focusing on users' activity understanding based on the spatio-temporal and social features of mobile data. And, a visual analytic system for mobile data is also built, which aims to explore mobile users' behavior patterns in different period, detect their social roles and discover their real social relationship. It has been examined with mobile data in a city, and the results prove the effectiveness of the proposed method.