Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases
Facing the dual background of risk society and the fourth scientific and technological revolution, digital emergency management (DEM) research has attracted wide attention worldwide. Based on the comparative analysis of data from Web of Science (WOS) and China National Knowledge Infrastructure (CNKI...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2022/4604223 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832562348818169856 |
---|---|
author | Rui Nan Wenjun Zhu Yejing Xiao |
author_facet | Rui Nan Wenjun Zhu Yejing Xiao |
author_sort | Rui Nan |
collection | DOAJ |
description | Facing the dual background of risk society and the fourth scientific and technological revolution, digital emergency management (DEM) research has attracted wide attention worldwide. Based on the comparative analysis of data from Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, the research draws the knowledge map by CiteSpace, in order to analyse the spatiotemporal distribution, hotspots, and trends of DEM research. The following are the results: (1) DEM research shows a spiral growth, with a significant increase in the number of papers. Existing highly cited references are mainly carried out from the perspective of management or technology. (2) The complex countries’ cooperation network has been formed from the USA, China, and other countries; the complexity of the institutions’ cooperation network must be strengthened, and the density of the authors’ cooperation network is low; DEM research has significant interdisciplinary attributes. (3) The hotspots of DEM research can be divided into three categories: means, processes, and objects, but the research emphases between international and China are different. (4) The evolution of DEM research can be divided into three stages between international and China: embryonic, development, and deepening stages, and research contents in each stage show some differences. (5) The trends of DEM research between international and China are different. The former are information technology, artificial intelligence, and machine learning, whereas the latter are emergency decision making, scenario analysis, and public health. |
format | Article |
id | doaj-art-21f44591042f4f7e89e3e08dc2d3e120 |
institution | Kabale University |
issn | 1607-887X |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-21f44591042f4f7e89e3e08dc2d3e1202025-02-03T01:22:49ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/4604223Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI DatabasesRui Nan0Wenjun Zhu1Yejing Xiao2School of Law and HumanitiesSchool of Law and HumanitiesSchool of Law and HumanitiesFacing the dual background of risk society and the fourth scientific and technological revolution, digital emergency management (DEM) research has attracted wide attention worldwide. Based on the comparative analysis of data from Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, the research draws the knowledge map by CiteSpace, in order to analyse the spatiotemporal distribution, hotspots, and trends of DEM research. The following are the results: (1) DEM research shows a spiral growth, with a significant increase in the number of papers. Existing highly cited references are mainly carried out from the perspective of management or technology. (2) The complex countries’ cooperation network has been formed from the USA, China, and other countries; the complexity of the institutions’ cooperation network must be strengthened, and the density of the authors’ cooperation network is low; DEM research has significant interdisciplinary attributes. (3) The hotspots of DEM research can be divided into three categories: means, processes, and objects, but the research emphases between international and China are different. (4) The evolution of DEM research can be divided into three stages between international and China: embryonic, development, and deepening stages, and research contents in each stage show some differences. (5) The trends of DEM research between international and China are different. The former are information technology, artificial intelligence, and machine learning, whereas the latter are emergency decision making, scenario analysis, and public health.http://dx.doi.org/10.1155/2022/4604223 |
spellingShingle | Rui Nan Wenjun Zhu Yejing Xiao Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases Discrete Dynamics in Nature and Society |
title | Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases |
title_full | Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases |
title_fullStr | Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases |
title_full_unstemmed | Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases |
title_short | Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases |
title_sort | knowledge graph analysis of digital emergency management research based on citespace visualisation comparative analysis of wos and cnki databases |
url | http://dx.doi.org/10.1155/2022/4604223 |
work_keys_str_mv | AT ruinan knowledgegraphanalysisofdigitalemergencymanagementresearchbasedoncitespacevisualisationcomparativeanalysisofwosandcnkidatabases AT wenjunzhu knowledgegraphanalysisofdigitalemergencymanagementresearchbasedoncitespacevisualisationcomparativeanalysisofwosandcnkidatabases AT yejingxiao knowledgegraphanalysisofdigitalemergencymanagementresearchbasedoncitespacevisualisationcomparativeanalysisofwosandcnkidatabases |