Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research

In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for b...

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Bibliographic Details
Main Authors: Xiaoyu Wang, Wang Zhao, Yongzhong Wang, Qin Zhao, Xuejie Yang, Kaixiang Su, Dongxiao Gu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/1/109
Description
Summary:In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research.
ISSN:1099-4300