Tracing Knowledge Development Trajectories of the Internet of Things Domain: A Main Path Analysis

被引:79
|
作者
Fu, Hanliang [1 ]
Wang, Mengmeng [1 ]
Li, Peng [2 ]
Jiang, Song [1 ]
Hu, Wei [3 ]
Guo, Xiaotong [3 ]
Cao, Ming [4 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Shaanxi, Peoples R China
[2] North China Elect Power Univ, Key Lab Condit Monitoring & Control Power Plant E, Baoding 071003, Peoples R China
[3] Illinois State Univ, Coll Appl Sci & Technol, Dept Technol, Normal, IL 61790 USA
[4] Xian Univ Sci & Technol, Sch Management, Xian 710054, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Internet of Things; Software algorithms; Trajectory; Software; Bibliometrics; Standards; Informatics; knowledge development; main path analysis; scientometric; SMART CITIES; FUTURE INTERNET; DIFFUSION PATH; IOT; SECURITY; CHALLENGES; INTEGRATION; MANAGEMENT; MEDICINE; RESOURCE;
D O I
10.1109/TII.2019.2929414
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Things (IoT), as an important technical domain in the future, has received wide attention globally from different disciplines. The research output in this domain, therefore, grew rapidly in the past ten years. This article deeply investigates the knowledge base and knowledge development trajectory of the domain since the IoT was proffered in 1999. By adopting basic statistical and keyword cooccurrence methods, the most influential countries, institutions, journals, and scholars in the domain, as well as the division of core, hot keywords, and subdomains, are investigated. By using the main path analysis method, a survey is conducted on the development trajectory of the domain on the basis of knowledge inheritance; the four core branches-industry, big data, cloud computing, and IoT security; and the three application studies of industry, healthcare, and smart city.
引用
收藏
页码:6531 / 6540
页数:10
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