사회연결망 분석을 이용한 항만경제학 분야 공동연구의 중심성에 관한 연구

Abstract

Increased joint research means increase in exchange of knowledge and academic information between scholars. Social network analysis is used to analyse the meaning of increased communication between scholars and complex relations between structural characteristics, and whether they have an effect on ones academic activity. Collaboration network is a product of social cooperation formed by researchers. Academic cooperation network can be the necessary solution to convergent themes and long-term assignments. This study analysed the structural characteristics of a co-author network as an academic community in port economics through co-author data. For this study, a total of 248 papers published recently(between 2011 and 2105) were analysed. As for the analysis of research centrality of co-authors in port economics, a network using joint research structure was visualized. Port economics has inter-disciplinary networks connecting many researchers in a number of small-scale networks. The results are as follows: First, the degree of centrality for standardized actor Gi-Tae Yeo was 6.048%, which was the largest. He has a network with another 15 researchers. Second, the standard betweenness centrality of Gi-Tae Yeo was largest recording 0.546%. Third, the largest value for eigenvector centrality developed by Gi-Tae Yeo was 74.0735%. Geon-Sik Jo, Sung-Bum Kim, Jae-Young Kim, Nam-Yeon Lee, Sung-Jae Yoo, Jin-Hang Cho, Ho-Young Lee and Sung-il Park were relatively low in their centrality degree while they were close to the top in eigenvector centrality.