Abstract

The major concern of this study is to analyze and explain the research characteristics of the Fisheries and Marine Education based on using social network analysis. This study examined total 978 papers in the Journal of Fisheries and Marine Education from the year of 2006 to 2016. Most of the analyzed data including researcher characteristics, volume of article, abstract, title and key words had been gathered and refined with contents analysis. Using social network analysis(SNA) that has been considered one of the remarkable methods in contents analysis and social science research, this study shows noticeable and comprehensive results in recently studies of the journal of Fisheries and Marine Education as follows. BR First, based on the result of author related analysis there’s some increasement on number of joint researcher. Second, most frequently used key words in papers were olive flounder, self efficacy, job satisfaction, satisfaction, education, growth, teacher and so on. But the most of the significant and meaningful key words were education, growth, fisheries, and satisfaction considered centrality index. Third, Two major key words clusters so called education(in social science) and aquaculture(in natural science) were found based on visible social network analysis. And similar results were showed in analysis of the abstract and title of papers. The results of this study would be a useful guideline of further sustainable research for faculty and research community of fisheries and marine education.

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