“…Such techniques include semantic network analysis, which, unlike traditional analysis, does not require preconceived categories (Doerfel, 1998) and has been widely accepted as a helpful method for exploring word associations in texts (Jang et al, 2022;Smith & Smith, 2022;Yoon & Chung, 2018b). Semantic network analysis has been successfully applied to social networks in various fields, including medicine (Kang et al, 2017;Tang et al, 2018), political science (Park et al, 2020), social movements (Eddington, 2018;Xiong et al, 2019), public administration (Liu et al, 2018;Sevin, 2014;Wang & Xu, 2022), marketing (Hong et al, 2016;Youn & Jung, 2021), and hospitality or tourism (Feizollah et al, 2021;Jang et al, 2022;Park et al, 2018;Yoon & Chung, 2018a).…”