A Social Network Analysis of Research Key Words Related Smoke Cessation in South Korea / 보건행정학회지

ABSTRACT

BACKGROUND: The purpose of this study is supposed to figure out the keyword network from 2009 to 2018 with social network analysis and provide the research data that can help the Korea government's policy making on smoking cessation. METHODS: First, frequency analysis on the keyword was performed. After, in this study, I applied three classic centrality measures (degree centrality, betweenness centrality, and eigenvector centrality) with R 3.5.1. Moreover, I visualized the results as the word cloud and keyword network. RESULTS: As a result of network analysis, ‘smoking’ and ‘smoking cessation’ were key words with high frequency, high degree centrality, and betweenness centrality. As a result of looking at trends in keyword, many study had been done on the keyword ‘secondhand smoke’ and ‘adolescent’ from 2009 to 2013, and ‘cigarette graphic warning’ and ‘electronic cigarette’ from 2014 to 2018. CONCLUSION: This study contributes to understand trends on smoking cessation study and seek further study with the keyword network analysis.