面向用户行为理解的移动通讯数据可视分析

doi:10.3785/j.issn.1008-9497.2018.01.007

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摘要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.

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	蒋宏宇
	吴亚东
	赵韦鑫
	唐楷

关键词 ：用户行为, 时空数据, 稀疏轨迹

Abstract：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.

Key words： activities of users spatio-temporal data sparse data

收稿日期: 2017-07-01

ZTFLH:

TP391

基金资助:国家重点研发计划项目（2016QY04W0801）；四川省军民融合研究院开放基金资助项目（JMRH01）；四川省科技厅项目（2017TJPT0200，2017KZ0023，2017GZ0186）；西南科技大学研究生创新基金资助项目（17ycx052）；西南科技大学大学生创新基金精准资助专项（jz17-045）.

通讯作者: 吴亚东,ORCID:http://orcid.org/0000-0003-0919-9151,E-mail:wyd028@126.com E-mail: wyd028@126.com

作者简介: 蒋宏宇(1994-),ORCID:http://orcid.org/0000-0003-1534-188X,男,硕士研究生,主要从事可视化、城市计算研究.

引用本文:

蒋宏宇, 吴亚东, 赵韦鑫, 唐楷. 面向用户行为理解的移动通讯数据可视分析[J]. 浙江大学学报（理学版）, 2018, 45(1): 37-43.
JIANG Hongyu, WU Yadong, ZHAO Weixin, TANG Kai. Mobile data visual analysis for human activity understanding. Journal of ZheJIang University(Science Edition), 2018, 45(1): 37-43.

链接本文:

http://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2018.01.007 或 http://www.zjujournals.com/sci/CN/Y2018/V45/I1/37

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