한국수소및신에너지학회논��집에서의 공동 연구기관 네트워크 분석 (Analysis of the Network of Co-affiliations in the Journal of Hydrogen and New Energy)

This study analyzed the centrality analysis of the co-affiliation network using articles published in the Journal of the Hydrogen and New Energy from 2020 to 2024 to build a virtuous knowledge circulation ecosystem of the Journal of the Hydrogen and New Energy. In addition, an empirical analysis was conducted to determine which centrality of which network has an impact on increasing future research productivity. The results of the analysis are as follows. First, during this period, 953 authors from 171 affiliations collaborated with each other by publishing 422 articles In particular, 57% of all articles were published by authors belonging to the same affiliation, and 45% of all affiliations formed a network. Second, affiliations with high degree centrality promote knowledge flow essential for article productivity. On the other hand, even if the number of articles is not large, if they are located on the connection path between other affiliations, betweenness centrality is high, so it was found that affiliations with high betweenness centrality only had a negative impact on paper productivity.

This study analyzed the centrality analysis of the co-affiliation network using articles published in the Journal of the Hydrogen and New Energy from 2020 to 2024 to build a virtuous knowledge circulation ecosystem of the Journal of the Hydrogen and New Energy. In addition, an empirical analysis was conducted to determine which centrality of which network has an impact on increasing future research productivity. The results of the analysis are as follows. First, during this period, 953 authors from 171 affiliations collaborated with each other by publishing 422 articles In particular, 57% of all articles were published by authors belonging to the same affiliation, and 45% of all affiliations formed a network. Second, affiliations with high degree centrality promote knowledge flow essential for article productivity. On the other hand, even if the number of articles is not large, if they are located on the connection path between other affiliations, betweenness centrality is high, so it was found that affiliations with high betweenness centrality only had a negative impact on paper productivity.