Research topics and trends in medical education by social network analysis.

ABSTRACT:

Background

As studies analyzing the networks and relational structures of research topics in academic fields emerge, studies that apply methods of network and relationship analysis, such as social network analysis (SNA), are drawing more attention. The purpose of this study is to explore the interaction of medical education subjects in the framework of complex systems theory using SNA and to analyze the trends in medical education.

Methods

The authors extracted keywords using Medical Subject Headings terms from 9,379 research articles (162,866 keywords) published in 1963-2015 in PubMed. They generated an occurrence frequency matrix, calculated relatedness using Weighted Jaccard Similarity, and analyzed and visualized the networks with Gephi software.

Results

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SUBMITTER: Ji YA 

PROVIDER: S-EPMC6154904 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature