地理社会网络数据可视化分析研究综述  

Research Overview of Geo-social Networks Data Visualization and Analysis

作　　者：李恒 沈华伟[3,4] 黄蔚[2] 程学旗[3,4] LI Heng;SHEN Huawei;HUANG Wei;CHENG Xueqi(College of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China;National Geomatics Center of China,Beijing 100830,China;CAS Key Lab of Network Data Science and Technology,Institute of Computing Technology,Chinese Academy of Sciences,]3eijing 100190,China;Key Laboratory of Network Data Science and Technology,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院大学人工智能学院,北京100049 [2]国家基础地理信息中心,北京100830 [3]中国科学院计算技术研究所网络数据科学与技术重点实验室,北京100190 [4]中国科学院网络数据科学与技术重点实验室,北京100190

出　　处：《中文信息学报》2018年第10期11-18,共8页Journal of Chinese Information Processing

基　　金：国家重点基础研究发展计划("973"计划)(2014CB340406);国家自然科学基金(61232010)

摘　　要：随着移动互联网与社会网络的深度融合,基于位置服务(Location Based Service,LBS)的社交媒体应用更加流行,成为地理社会网络(Geo-Social Networks,GSN)的研究重点。基于位置信息的社会网络(Location Based Social Network,LBSN)由于具有时空特性,其海量数据可视化不同于传统信息可视化,必须结合其地理信息特征进行表达。该文以GSN中抽取出的海量时空数据为分析对象,从LBSN时空数据抽取、海量时空数据可视化等方面进行综述,对地理社会网络时空数据交互可视化分析技术开展研究,以期能够实现比较方便、快速、直接地从地理社会网络的海量数据中提取出有用、可靠、可知识化的综合信息,并通过信息可视化方式进行直观表达、展示与分析。With the deep integration of mobile Internet and Social network,social media and application based on Location Based Service（LBS）becomes more popular,which is currently a major ongoing research effort on Geo-Social Networks（GSN）.Due to spatio-temporal traits of Location Based Social Network（LBSN）,mass of data visualization which is different from traditional information visualization must be expressed in combination with its geographic information characteristics.By analyzing the mass data pumped for Geo-Social Networks（GSN）,this paper reviews the spatio-temporal SNS data extraction,and the massive spatio-temporal information visualization.This survey contributes to convenient,fact and direct extraction of useful and liable visualized information from massive data in GSN,and direct Information Visualization.

关 键 词：地理社会网络 时空数据 信息可视化 大数据分析 地图学与地理信息系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]