Social Media based Transportation Research: the State of the Work and the Networking
Yisheng Lv; Yuanyuan Chen; Xiqiao Zhang; Yanjie Duan; Naiqiang Li
发表期刊IEEE/CAA Journal of Automatica Sinica
2017
卷号4期号:1页码:19-26
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.

关键词transportation research , social media data , traffic information sources , social network analysis methods , collaboration patterns
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/47494
专题多模态人工智能系统全国重点实验室_平行智能技术与系统团队
中国科学院自动化研究所
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.
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