Social Perception Network Analysis of Educational Communities before and After the Covid-19 Based on Big Data

ABSTRACT

The purpose of this study is to understand the meaning by utilizing and analyzing big data on the educational community before and after the era of Covid-19, and to suggest the research direction of the future educational community. The keyword ‘Education + Community’ was used to compare big data before February 19, 2020 and after February 19, 2020, when confirmed cases with Covid-19 began to be reported in Republic of Korea. Semantic network analysis was performed from the collected data to the final data that had undergone a refinement process. The big data used in this study consisted of data before February 19, 5,280 data (1,866 KB) and 1314 data (849 KB) after February 19, searched with the keyword ‘educational community’. The analyzed data is a total of 6,594 cases (2715 KB). This study is meaningful in comparing the relationship between keywords related to the educational community in big data before and after the outbreak of Covid-19.Based on the results of this study, practical welfare alternatives and policy alternatives for the future educational community were suggested. © 2021