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2019
DOI: 10.1007/s00500-019-04384-7
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Visualization analysis of big data research based on Citespace

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Cited by 108 publications
(91 citation statements)
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References 26 publications
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“…It combines cluster analysis and social network analysis. It can analyze the basic knowledge and research frontiers, research characteristics, and evolution trends of a certain field through the cocitation and coupling of documents, scientific research, cooperation networks, and theme contributions [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. The CiteSpace used in this analysis is 5.7R2.…”
Section: Methodsmentioning
confidence: 99%
“…It combines cluster analysis and social network analysis. It can analyze the basic knowledge and research frontiers, research characteristics, and evolution trends of a certain field through the cocitation and coupling of documents, scientific research, cooperation networks, and theme contributions [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. The CiteSpace used in this analysis is 5.7R2.…”
Section: Methodsmentioning
confidence: 99%
“…It identifies the association between different countries that depicts the influence of the country at the international level. It helps to identify the national institutions and contributions in the research domain [36]. Figure 7 depicts the country collaborations network of all categories of educational research.…”
Section: International Collaboration Analysismentioning
confidence: 99%
“…Keywords are the core representation of articles and research topics. Henceforth, the analysis of keyword co‐occurrence is used to discover research frontiers and hotspots in this domain [36].…”
Section: Keyword Co‐occurrence Analysismentioning
confidence: 99%
“…With the development of computer and network communication technology, numerous devices are connected to the internet, the boundary between the real world and the virtual world tends to be blurred, and the internet is being extended to the physical world, forming the Internet of ings. In the IoT, the IoT search system is the key for computers to obtain information about the physical world and an important component to build a perfect IoT system [3]. IoT search refers to the use of relevant measures to obtain various information (e.g., objects, people, and web pages) from the IoT, store, and manage this spatial-temporal data information in an organized and orderly manner so that it can be easily searched by users [4].…”
Section: Introductionmentioning
confidence: 99%