地理社会网络数据可视化分析研究综述
|
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.
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.
引文
[1]Yin H,Wang C,Yu N,et al.Trip mining and recommendation from geo-tagged photos[C]//Proceedings of IEEE International Conference on Multimedia and Expo Workshops.New York:IEEE,2012:540-545.
[2]Shneiderman B,Bederson B B.The Craft of information visualization:readings and reflections[M].Morgan Kaufmann Publishers Inc.2003.
[3]谢妮.地理社会网络数据可视化分析系统的设计、开发与应用[D].福州:福州大学硕士学位论文,2014:2-3.
[4]Ware C.Information visualization:perception for design[M].Morgan Kaufmann Publishers Inc.2000.
[5]Sindiy O,Litomisky K,Davidoff S,et al.Introduction to information visualization(InfoVis)techniques for model-based systems engineering[J].Procedia Computer Science,2013,16:49-58.
[6]Defanti T A,Brown M D,Mccormick B H.Visualization:expanding scientific and engineering research opportunities[J].Computer,1989,22(8):12-16.
[7]Robertson G,Card S K,Mackinlay J D.The cognitive coprocessor architecture for interactive user interfaces[C]//Proceedings of ACM Symposium on User Interface Software and Technology,UIST 1989,Williamsburg,West Virginia,USA,November.DBLP,1989:10-18.
[8]Shneiderman Ben.The eyes have it:a task by data type taxonomy for information visualizations[J].Craft of Information Visualization,2003:364-371.
[9]Ware C.Information Visualization:Perception for Design[M].Morgan Kaufmann Publishers Inc.2012.
[10]李霖,许铭,尹章才,等.基于地图的地理信息可视化现状与发展[J].测绘工程,2006,15(5):11-14.
[11]地图[EB/OL].[20180202].https://baike.baidu.com/item/%E5%9C%B0%E5%9B%BE/22940?fr=aladdin.
[12]秦建新,张青年,王全科,等.地图可视化研究[J].地理研究,2000,19(01):15-21.
[13]胡昌平,张晶.从信息传输到可视化:地图制图学视角下的知识地图理论研究[J].图书馆论坛,2014,34(05):29-35,70.
[14]Bilal Berjawi,Fabien Duchateau,Elisabeth Chesneau,et al.Uncertainty visualization of multi-providers cartographic integration[J].Journal of Visual Languages and Computing,2014,25(6):995-1002.
[15]Freeman L.Visualizing social networks[J].Journal of Social Structure,2000,6(4):411-429.
[16]Diestel R.Graph theory[J].Mathematical Gazette,2000,173(502):67-128.
[17]Gansner E R,Koren Y.Improved Circular Layouts[C]//Proceedings of International Symposium on Graph Drawing.2006:386-398.
[18]Eades P.A Heuristic for Graph Drawing[J].Congressus Numerantium,1984,42(11):149-160.
[19]水超,陈涛,李慧,陈国升.基于力导向模型的网络图自动布局算法综述[J].计算机工程与科学,2015,37(03):457-465.
[20]全武,黄茂林.一种用于Marching—Graph图形绘制的快速收敛布局算法[J].软件学报,2008,19(8):1920-1932.
[21]吴鹏,李思昆.适于社会网络结构分析与可视化的布局算法[J].软件学报,2011,22(10):2467-2475.
[22]万怀宇,等.Discovering typed communities in mobile social networks[J].计算机科学技术学报(英文版),2012,27(3):480-491.
[23]MIT Senseable City Lab.[EB/OL].[20170528].https://en.wikipedia.org/wiki/MIT_Senseable_City_Lab.
[24]Nathan Yau.鲜活的数据[M].北京:人民邮电出版社,2012.
[25]陈为,朱标,张宏鑫.BN-Mapping:基于贝叶斯网络的地理空间数据可视分析[J].计算机学报,2016,39(7):1281-1293.
[26]Chen S,Guo C,Yuan X,et al.MovementFinder:Visual analytics of origin-destination patterns from geo-tagged social media[C]//Proceedings of 2014IEEE Conference on Visual Analytics Science and Technology.Paris,Frane,2014:239-240.
[27]刘滨,张静远,刘强,等.微博分析研究综述[J].河北科技大学学报,2015,36(1):100-110.
[28]钟杰,王海舟,王文贤.基于话题的微博信息传播拓扑结构研究[J].信息网络安全,2016,16(3):64-70.
[29]徐顾伟,汪浩,秦永健,等.基于移动社交网络的空间资源利用分析系统[J].计算机应用研究,2011,28(8):2958-2960.
[30]关迎晖,向勇,陈康.基于Gephi的可视分析方法研究与应用[J].电信科学,2013(s1):112-119.
[31]姜磊,杨济运,陈芳,等.网络舆情可视化建模方法研究与实例分析[J].情报科学,2015(9):146-150.
[32]周芳如,吴姗姗,吴晋峰,等.旅游信息微博传播网络结构及时空特征[J].经济地理,2016,36(6):195-203.
[33]柴玥,金保德,杨中楷.《中国国家地理》新浪微博传播效应分析[J].中国科技期刊研究,2015,26(5):493-498.
[34]程学旗,沈华伟.《在线社会关系网络的挖掘与分析》专辑前言[J].计算机学报,2014,37(4):733-734.
[2]Shneiderman B,Bederson B B.The Craft of information visualization:readings and reflections[M].Morgan Kaufmann Publishers Inc.2003.
[3]谢妮.地理社会网络数据可视化分析系统的设计、开发与应用[D].福州:福州大学硕士学位论文,2014:2-3.
[4]Ware C.Information visualization:perception for design[M].Morgan Kaufmann Publishers Inc.2000.
[5]Sindiy O,Litomisky K,Davidoff S,et al.Introduction to information visualization(InfoVis)techniques for model-based systems engineering[J].Procedia Computer Science,2013,16:49-58.
[6]Defanti T A,Brown M D,Mccormick B H.Visualization:expanding scientific and engineering research opportunities[J].Computer,1989,22(8):12-16.
[7]Robertson G,Card S K,Mackinlay J D.The cognitive coprocessor architecture for interactive user interfaces[C]//Proceedings of ACM Symposium on User Interface Software and Technology,UIST 1989,Williamsburg,West Virginia,USA,November.DBLP,1989:10-18.
[8]Shneiderman Ben.The eyes have it:a task by data type taxonomy for information visualizations[J].Craft of Information Visualization,2003:364-371.
[9]Ware C.Information Visualization:Perception for Design[M].Morgan Kaufmann Publishers Inc.2012.
[10]李霖,许铭,尹章才,等.基于地图的地理信息可视化现状与发展[J].测绘工程,2006,15(5):11-14.
[11]地图[EB/OL].[20180202].https://baike.baidu.com/item/%E5%9C%B0%E5%9B%BE/22940?fr=aladdin.
[12]秦建新,张青年,王全科,等.地图可视化研究[J].地理研究,2000,19(01):15-21.
[13]胡昌平,张晶.从信息传输到可视化:地图制图学视角下的知识地图理论研究[J].图书馆论坛,2014,34(05):29-35,70.
[14]Bilal Berjawi,Fabien Duchateau,Elisabeth Chesneau,et al.Uncertainty visualization of multi-providers cartographic integration[J].Journal of Visual Languages and Computing,2014,25(6):995-1002.
[15]Freeman L.Visualizing social networks[J].Journal of Social Structure,2000,6(4):411-429.
[16]Diestel R.Graph theory[J].Mathematical Gazette,2000,173(502):67-128.
[17]Gansner E R,Koren Y.Improved Circular Layouts[C]//Proceedings of International Symposium on Graph Drawing.2006:386-398.
[18]Eades P.A Heuristic for Graph Drawing[J].Congressus Numerantium,1984,42(11):149-160.
[19]水超,陈涛,李慧,陈国升.基于力导向模型的网络图自动布局算法综述[J].计算机工程与科学,2015,37(03):457-465.
[20]全武,黄茂林.一种用于Marching—Graph图形绘制的快速收敛布局算法[J].软件学报,2008,19(8):1920-1932.
[21]吴鹏,李思昆.适于社会网络结构分析与可视化的布局算法[J].软件学报,2011,22(10):2467-2475.
[22]万怀宇,等.Discovering typed communities in mobile social networks[J].计算机科学技术学报(英文版),2012,27(3):480-491.
[23]MIT Senseable City Lab.[EB/OL].[20170528].https://en.wikipedia.org/wiki/MIT_Senseable_City_Lab.
[24]Nathan Yau.鲜活的数据[M].北京:人民邮电出版社,2012.
[25]陈为,朱标,张宏鑫.BN-Mapping:基于贝叶斯网络的地理空间数据可视分析[J].计算机学报,2016,39(7):1281-1293.
[26]Chen S,Guo C,Yuan X,et al.MovementFinder:Visual analytics of origin-destination patterns from geo-tagged social media[C]//Proceedings of 2014IEEE Conference on Visual Analytics Science and Technology.Paris,Frane,2014:239-240.
[27]刘滨,张静远,刘强,等.微博分析研究综述[J].河北科技大学学报,2015,36(1):100-110.
[28]钟杰,王海舟,王文贤.基于话题的微博信息传播拓扑结构研究[J].信息网络安全,2016,16(3):64-70.
[29]徐顾伟,汪浩,秦永健,等.基于移动社交网络的空间资源利用分析系统[J].计算机应用研究,2011,28(8):2958-2960.
[30]关迎晖,向勇,陈康.基于Gephi的可视分析方法研究与应用[J].电信科学,2013(s1):112-119.
[31]姜磊,杨济运,陈芳,等.网络舆情可视化建模方法研究与实例分析[J].情报科学,2015(9):146-150.
[32]周芳如,吴姗姗,吴晋峰,等.旅游信息微博传播网络结构及时空特征[J].经济地理,2016,36(6):195-203.
[33]柴玥,金保德,杨中楷.《中国国家地理》新浪微博传播效应分析[J].中国科技期刊研究,2015,26(5):493-498.
[34]程学旗,沈华伟.《在线社会关系网络的挖掘与分析》专辑前言[J].计算机学报,2014,37(4):733-734.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |