Development Pattern,Classification and Evaluation of the Tourism Academic Community in China in the Last Ten Years: From the Perspective of Big Data of Articles of Tourism Academic Journals

This paper analyzes 16,024 tourism academic articles using big data methods,in 784 journals indexed in the Core Journal of China,CSSCI and CSCD databases from 2003 to 2012. Sample articles are written by 13,608 authors from 2,565 colleges universities or academic institutions during the last decade. This paper also ranks and evaluates journals and institutions,including the top 100 academic journals with tourism articles and the top 100 colleges universities and other academic institutions related to tourism,as well as the top 100 authors. The top 100 journals account for 12. 76% of the total sample,and the number of articles published is 12,124, which accounts for 75. 66% of all tourism articles. Among the top 10 journals,there are 4 journals in geography,2 in economic and 2 in business,besides Tourism Tribune and Tourism Science. According to the top 9 institutions,all of them have a geography background,so geography contributes more than any other discipline to tourism research and the conclusions support the results in Table 1. Cumulating the score with the city of colleges universities and institutions as a unit,we can attain a spatial distribution map( Fig. 1) of the top 100 colleges universities and institutions related to tourism studies. There is a close correlation between the spatial distribution density of institutions and the Hu Huanyong Line( Aihui- Tengchong Line),which was proposed by Hu Huanyong in 1935 and is the population density distribution line in China. It can also be found in Table 3,that geography researchers made important contributions. In the list of the top 10 authors of tourism articles,there are 9 authors who have an academic background of geography,( except the fifth authors is from management research field) delete?. In order to fully understand 16,024 papers topics,we selected papers on the theme of clustering classification samples from Table 4. It can be seen that 3,032 articles on tourism geography rank first in fifteen categories. This paper displays the development pattern and classification structure of tourism academic community over the past decade in China,playing a part in the guiding role of evaluating the academic level of tourism. The method of research has a degree of innovation and discovery of the phenomena and problems which have not been revealed in previous studies. It also lays a certain foundation for promoting big data applications of Chinese tourism academic research. Compared with similar foreign studies( mostly at the global level),the number of literature samples of this paper( only one country) is nearly ten times more than the former,the number of authors dozens of times,the number of journals even over a hundred times. However,the number of academic articles only reflects one side of the academic impact. Although citation frequency and downloads should also be analyzed to measure academic quality,we don 't consider these influencing factors in this paper in order to remain consistent with other international research( Parker,et al.).