사회연결망분석(SNA)을 활용한 4대강 지역주민의 인식연구
A Study on The Recognition of Residents for The 4 Main Rivers by Using Social Network Analysis
0
조회
0
다운로드
11
인용
0
참고문헌
키워드
초록
Social network analysis and network analysis are perceived as similar in many research publications since it became popular in the 1990s. Application of network analysis in tourism research is relatively new, especially in the study of the four rivers. Network analysis is employed to investigate the structure and pattern of relationships between actors in a network. In this paper, the data was collected from 661 residents who live in waterfront nearby from Sep to Oct, 2013. The results of the research show the pattern of the network among four main rivers. Especially, according to 4 kinds of analysis of the degree centrality spring, it was analyzed that the centrality of han and nakdong rivers was high and the others were relatively low. Moreover, in the analysis of degree centrality concentric, "the reduction of overflow damage" and the improvement of surroundings in each region" were mostly located in the center of node. These results enrich current research on the effects of this big project and provide a dynamic perspective for understanding how this big national project influences residents through interactions of recognition. Several academic and operational implications were suggested.
Abstract
Social network analysis and network analysis are perceived as similar in many research publications since it became popular in the 1990s. Application of network analysis in tourism research is relatively new, especially in the study of the four rivers. Network analysis is employed to investigate the structure and pattern of relationships between actors in a network. In this paper, the data was collected from 661 residents who live in waterfront nearby from Sep to Oct, 2013. The results of the research show the pattern of the network among four main rivers. Especially, according to 4 kinds of analysis of the degree centrality spring, it was analyzed that the centrality of han and nakdong rivers was high and the others were relatively low. Moreover, in the analysis of degree centrality concentric, "the reduction of overflow damage" and the improvement of surroundings in each region" were mostly located in the center of node. These results enrich current research on the effects of this big project and provide a dynamic perspective for understanding how this big national project influences residents through interactions of recognition. Several academic and operational implications were suggested.
참고문헌 (33)
- 감미아, "텍스트 마이닝을 활용한 신문사에 따른 내용 및 논조 차이점 분석", 지능정보연구, 18(3), pp.53~77 (2012), 한국지능정보시스템학회
- 강영애, "수변공원에서의 회복환경지각이 여가만족도에 미치는 영향- 한강공원을 중심으로 -", 관광연구, 28(3), pp.353~373 (2013), 대한관광경영학회
- 국토교통부, "4대강사업 조사평가위원회(2014). 4대강사업 조사평가위원회 결과 발표 참고자료", ~ (2014)
- 김선희, "지역축제에 참여한 지역주민과 외지관광객의 만족도 비교연구 -나주 영산강 문화축제를 중심으로-", 관광학연구, 31(1), pp.407~422 (2007), 한국관광학회
- 김성배, "4대강살리기사업과 수변공간에서의 레저스포츠활동", 스포츠엔터테인먼트와 법, 14(2), pp.29~66 (2011), 한국스포츠엔터테인먼트법학회
- 김성욱, "한강시민공원 시설이용도 및 만족도에 관한 연구 - 한강시민공원 뚝섬지구를 중심으로 -", 한국조경학회지, 41(2), pp.59~68 (2013), 한국조경학회
- 김순양, "정책과정과 이익매개의 양식 : 세 가지 관점의 비교와 결합", 한국행정연구, 12(2), pp.146~185 (2003), 한국행정연구원
- 김용학, "사회연결망 분석" (2011), 박영사
- 김창수, "4대강 관광 및 레저사업 성과 분석", 관광경영연구, 16(4), pp.93~115 (2012), 관광경영학회
- 김학신, "한강 국제비치발리볼대회 관람 만족도가 이미지, 구전의도, 재방문에 미치는 영향", 한국체육학회지, 46(3), pp.291~301 (2007), 한국체육학회
- 문창현, "금강 철새도래지 생태관광객의 만족에 영향을 미치는 결정요인에 관한 연구", 한국환경생태학회지, 23(5), pp.460~470 (2009), 한국환경생태학회
- 박석순, "기후변화에 대비한 신 녹색뉴딜사업. 긍정의 눈으로 본 4대강 살리기", policy & issues, pp.10~13 (2010)
- 사득환, "물관리정책과 패러독스(Paradox)의 정치: 4대강 사업을 중심으로", 지방정부연구, 17(3), pp.365~381 (2013), 한국지방정부학회
- 송현지, "물의 속성과 전시연출에 관한 연구- 4대강 물문화관을 중심으로 -", 한국실내디자인학회 논문집, 21(5), pp.355~362 (2012), 한국실내디자인학회
- 염경택, "4대강 인프라를 활용한 앞으로의 하천 이용 및 강문화 활성화", 하천과문화, 8(2), pp.7~11 (2012)
- 이관규, "생태관광 네트워크 10선", 한국조경학회 2010년 춘계학술대회 논문집, pp.64~68 (2010)
- 이정록, "영산강 수변공간 방문객의 이용행태와 사업평가 분석", 한국경제지리학회지, 16(2), pp.247~261 (2013), 한국경제지리학회
- 이용일, "국내 면세점 이용자의 구매상품 간 연결망분석에 관한 연구", 관광연구저널, 28(3), pp.31~38 (2014), 한국관광연구학회
- 전영상, "‘4대강 살리기 사업’ 효과에 대한 시행 지역 주민의 기대심리 분석 : 충주지역 주민을 중심으로", 지방행정연구, 25(1), pp.83~116 (2011), 한국지방행정연구원
- 최정우, "한강공원 이용자의 만족도 변화에 관한 연구", 서울도시연구, 9(4), pp.53~70 (2008), 서울연구원
- 한학진, "중요도-만족도(IPA)를 활용한 승촌보 방문객 인식연구", 호텔리조트연구, 14(4), pp.179~197 (2015), 한국호텔리조트학회
- Baggio, R., "Knowledge transfer in a tourism destination: the effects of a network structure", The Service Industries Journal, 30(10), pp.1757~1771 (2010)
- Carrington, P. J., "Social Network Analysis" (2011), SAGE Publications
- Hong, T., "Network behavior as driving forces for tourism flows", Journal of Business Research, 68(1), pp.146~156 (2015)
- Kim, J.M., "Social Networking and Social Support in Tourism Experience", The Moderating Role of Online Self-Presentation Strategies, 30(1), pp.78~92 (2013)
- Knoke, D., "Optimal connections: strength and distance in valued graphs", Social Networks, 23(4), pp.285~295 (2001)
- Lau, G., "Understanding tourist movement patterns in a destination:a GIS approach", Tourism and Hospitality Research, 7(1), pp.39~49 (2007)
- Leiper, N., "The framework of tourism: towards a definition of tourism, tourist, and the tourist industry", Annals of Tourism Research, 6(4), pp.390~407 (1979)
- Li, Z., "Research and Application of the Three-Dimensional Complex Fault Network Modeling", Acta Scientiarum Naturalium, 51(1), pp.79~85 (2015)
- Luo, Q., "Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites", Tourism Management, 46, pp.274~282 (2015)
- Shih. H. Y., "Network characteristics of drive tourism destinations: An application of network analysis in tourism", Tourism Management, 27, pp.1029~1039 (2006)
- Wasserman, S., "Social network analysis: methods and applications" (1994), Cambridge University Press
- Xia, J., "Modelling spatio-temporal movement of tourists using finite Markov chains", Mathematics and Computers in Simulation, 79, pp.1544~1553 (2009)