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Data mining can extract useful information from large databases. This paper presents the evolution of the intellectual structure in tourism destination literature as determined by means of bibliometric and social network analysis of 17 552 citations of 414 articles published in Social Sciences Citation Index and Sciences Citation Index journals from 1955 to 2011. This study found that tourism destination research is organized into four different concentrations of interest: destination image,doi:10.1520/jte20120285 fatcat:3xjxuskvsjcpbg3bi42o55kfci