Discovering Multiple Clusters of Sightseeing Spots for Improving Tourist Satisfaction Using Network Motif
Tourist satisfaction occupies a very important position in the development of local community tourism. Therefore, we discovered multiple clusters of sightseeing spots in order to improve the tourist satisfaction in local community, and the satisfaction of tourists who travelled based on these multiple clusters of sightseeing spots can be increased. About the flow of the discovery, we first extracted the tourism keywords from the guidebooks introducing sightseeing spots. After that, we built a complex network of tourists and sightseeing spots based on the data collected from experiments conducted in Kyoto. Then, we add the corresponding tourism keywords for each sightseeing spot. At last, through analyzing complex network we successfully discovered multiple clusters of sightseeing spots with potential for improving tourist satisfaction.