Social Media based Transportation Research: the State of the Work and the Networking
Yisheng Lv; Yuanyuan Chen; Xiqiao Zhang; Yanjie Duan; Naiqiang Li
刊名IEEE/CAA Journal of Automatica Sinica
2017
卷号4期号:1页码:19-26
关键词transportation research , social media data , traffic information sources , social network analysis methods , collaboration patterns
英文摘要

Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis methods.We summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified.

语种英语
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/47494]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
推荐引用方式
GB/T 7714
Yisheng Lv,Yuanyuan Chen,Xiqiao Zhang,et al. Social Media based Transportation Research: the State of the Work and the Networking[J]. IEEE/CAA Journal of Automatica Sinica,2017,4(1):19-26.
APA Yisheng Lv,Yuanyuan Chen,Xiqiao Zhang,Yanjie Duan,&Naiqiang Li.(2017).Social Media based Transportation Research: the State of the Work and the Networking.IEEE/CAA Journal of Automatica Sinica,4(1),19-26.
MLA Yisheng Lv,et al."Social Media based Transportation Research: the State of the Work and the Networking".IEEE/CAA Journal of Automatica Sinica 4.1(2017):19-26.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace