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Erschienen in: Cluster Computing 1/2017

20.12.2016

A terms mining and clustering technique for surveying network and content analysis of academic groups exploration

verfasst von: Cheng-Chung Chen, Xiaoxi Fu, Che-Yuan Chang

Erschienen in: Cluster Computing | Ausgabe 1/2017

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Abstract

In recent years, the growing industry of hospitality and tourism has promoted the development of academics, and produced a lot of multiple issues and methodologies in these areas. It showed the reputation of academics in hospitality and tourism are more abundant in Taiwan. Therefore, a content analysis approach was used to analyze the research articles written by Taiwanese in international tourism and hospitality journals, and this study can show the industry trend, research preference of scholar and the relationship of corporation between authors in Taiwan. This paper aims to provide an overview 345 of articles published from 2000 to 2014, with the journals selected from ten leading journals of hospitality and tourism, that are Annals of Tourism Research Tourism Management, Cornell Hotel Quarterly, International Journal of Hospitality Management, Journal of Hospitality and Tourism Research, Journal of Travel Research, International Journal of Contemporary Hospitality Management, Journal of Sustainable Tourism, Leisure Sciences and Tourism Geographies. This study found that academic performance focused on particular scholars through listed ranking of author in publication of hospitality and tourism. Hence, this study used graph social clustering analysis to compare the relationship between authors.

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Metadaten
Titel
A terms mining and clustering technique for surveying network and content analysis of academic groups exploration
verfasst von
Cheng-Chung Chen
Xiaoxi Fu
Che-Yuan Chang
Publikationsdatum
20.12.2016
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 1/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-016-0711-5

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