The purpose of this study was to analyze the participant’s perception of importance and performance of rural tourism network products that are linked with local resources, and propose the implications on the development direction of such products. The focus is on helping rural tourism network products acquire competencies that will help them evolve their business and differentiate themselves. To reach these objectives, a survey was designed through theoretical research on the motive of rural tourism and on agritourism networks. The survey was carried out on visitors to rural communities that produce rural tourism network products from November, 2015, to January, 2016 using 165 copies of a questionnaire after distributing 175 copies. The first quadrant continue and sustain‘, an area of high importance and high performance, included trial program components, stress reduction, getting away from daily routines, gaining new experiences, comfort, experiencing rural culture, travel expenses, and making memories with family. The second quadrant ‘requires intensive improvement’, an area of high importance but low performance, included having diverse trial programs, refreshment, experiencing agriculture, and education of children. Therefore, continuous interest is required for the area of ‘maintenance’ just as it is for activating educational farms in rural communities and a more fundamental improvement in the operation should be made for the area of ‘intensive management’.

The aim of this study is to analyze the green-tourism centrality considering spatial interaction using Gravity Model and social network method. The degree centrality and prestige centrality were applied as green-tourism centrality index. The rural amenity resources and human resources were counted as attraction factors, and a distance among villages was used as friction factor in gravity model. The weights of rural tourism amenity resources were calculated using the analytic hierarchy process(AHP) method and applied to evaluate green-tourism potentiality. The distance was measured with the shortest path among villages using geographic information system(GIS) network analysis. The spatial interaction from gravity model were employed as link weights between nodal points; a pair villages. Using the spatial interaction, the degree-centrality and prestige-centrality indices were calculated by social network analysis and demonstrated possibility of developing integrated green-tourism region centered on high centrality villages.