International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi (Department of Tourism management, Institute of Information Technology, KwangWoon University) ;
  • Choi, Youn-hee (Department of Immersive Content Convergence, Graduate School of KwangWoon University)
  • Received : 2022.03.16
  • Accepted : 2022.03.24
  • Published : 2022.05.31
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Abstract

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

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References

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