Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Identifying Regional Tourism Resources Using Webometric Network Analysis: A case of Suseong-gu in Daegu, South Korea

웹보메트릭스를 활용한 지역관광자원 발굴 및 네트워크 분석: 대구 수성구를 중심으로

  • Song, Hwa Young (Interdisciplinary Program of Digital Convergence Business, Yeung-nam University) ;
  • Zhu, Yu Peng (Interdisciplinary Program of Digital Convergence Business, Yeung-nam University) ;
  • Kim, Ji Eun (Interdisciplinary Program of Digital Convergence Business, Yeung-nam University) ;
  • Oh, Jung Hyun (SOCE Inc.) ;
  • Park, Han Woo (Interdisciplinary Program of Digital Convergence Business, Department of Media and Communication, Yeung-nam University)
  • 송화영 (영남대학교 디지털융합비즈니스학과) ;
  • 주우붕 (영남대학교 디지털융합비즈니스학과) ;
  • 김지은 (영남대학교 디지털융합비즈니스학과) ;
  • 오정현 ((주)소스) ;
  • 박한우 (영남대학교 디지털융합비즈니스학과, 언론정보학과)
  • Received : 2020.03.30
  • Accepted : 2020.07.03
  • Published : 2020.07.31
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Abstract

The purpose of present study is to identify the regional tourism resources using Webometric network analysis. The study focuses on Suseong area in Daegu metropolitan city. Various kinds of web-based data, for example, hit counts, online news, and public comments, were used to discover hot places and people's responses. The research question is, 'First, what is the optimum level of the search engine for suseong? Second, what is the online appearance of tourist resources in suseong? Which region is the center of tourism with high levels of emergence? Third, what are the main contents of news articles and comments related to the Suseong pond?'. The results show that the search engine optimization level in Suseong is lower than that in other areas in Daegu. In other words, tourism information and contents regarding Suseong are not highly visible on cyber space. Importantly, Suseong pond had the highest online presence. A close analysis of both online news and users' comments on Suseong pond, however, revealed the biggest concern as calling for improving public accessibility to tourism infrastructure. The findings are expected to contribute to policy development and service operation related to tourism resources in Suseong.

이 연구는 웹보메트릭스를 활용한 지역관광자원 발굴 및 뉴스 네트워크를 대구 수성구를 중심으로 분석한 연구이다. 데이터는 Bing, Naver 등 웹 데이터를 사용했으며, 네트워크 분석과 댓글 분석을 하였다. 연구문제는 총 세가지로 첫째, 대구 내부에서 수성구의 검색엔진 최적화 수준은 어떠한가? 둘째, 수성구 관광자원의 온라인 출현도는 어떠한가? 셋째, 높은 온라인 출현도를 보이는 관광자원의 뉴스 기사와 댓글은 어떤 내용이 주를 이루는가?이며 그 결과를 보면 첫째, 수성구는 검색엔진 최적화 수준이 대구 내부에서 하위권에 속하며 이는 수성구 관광을 언급한 자료들의 온라인 가시성이 미약한 수준임을 알 수 있다. 둘째, 수성구에서 온라인 출현도가 높은 관광자원들은 대부분 수성못 중심이다. 셋째, 수성못 언론 보도의 내용과 댓글을 살펴본 결과 수성못 교통문제와 열대야가 최대 관심사로 나타나, 관광기반시설에 대한 접근성 개선과 관광자원 개발이 요구된다. 이러한 분석결과는 수성구 관광자원 관련 정책의 개발 및 서비스 운영에 기여 할 수 있고 지역 경제에 대한 해답이 될 것이다.

Keywords

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