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Social Media based Transportation Research: the State of the Work and the Networking | |
Yisheng Lv![]() ![]() ![]() | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica
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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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2017Lv.pdf(13247KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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