Abstract
The construction of walking trails in South Korea has developed rapidly in the last ten years, but academic interest has not caught up with this trend. In addition, the scope of study has been limited to a few famous walking trails such as Jeju Olle, Jirisan Dullegil, and Korea Dullegil. This study aims to provide valuable information on South Korean walking trails from a different point of view by using big data based on web data. We collected web pages that refer to the names of 79 walking trails simultaneously until September 2018. Bing.com and the Ucinet 6 program were used for data collection and analysis. Webometrics approaches and indicators based on network analysis were adopted. The results show that the alleys within big cities and forest walking trails, rather than Jeju Olle, Jirisan Dullegil, etc., had high centrality values and drew attention from online users. As a result of investigating the structural equivalence of the South Korean walking trails network, four clusters were found.
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