Safety management is becoming one of the most hot research issues in Korea. We collected the researcher information in two safety related journals of the journal of the Korea safety management & science and the journal of Korean society of safety. Social network analysis was used to analyse the research relationship among the authors in each journal. The degree centrality, the betweenness centrality, the closeness centrality and the proximity prestige centrality on each researcher were calculated to find out most influenced researcher. Biggest research groups in each journal were introduced by clustering technique.