Social Media based Transportation Research: the State of the Work and the Networking
Yisheng Lv; Yuanyuan Chen; Xiqiao Zhang; Yanjie Duan; Naiqiang Li
Source PublicationIEEE/CAA Journal of Automatica Sinica
2017
Volume4Issue:1Pages:19-26
Abstract

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.

Keywordtransportation research , social media data , traffic information sources , social network analysis methods , collaboration patterns
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47494
Collection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
Recommended Citation
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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