Tourism research from its inception to present day: Subject area, geography, and gender distributions
This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Sco...
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| Published in | PloS one Vol. 13; no. 11; p. e0206820 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
02.11.2018
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0206820 |
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| Abstract | This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship. |
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| AbstractList | This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship. This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970-2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship. |
| Author | Kirilenko, Andrei P. Stepchenkova, Svetlana |
| AuthorAffiliation | Institut Català de Paleoecologia Humana i Evolució Social (IPHES), SPAIN The Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, Florida, United States of America |
| AuthorAffiliation_xml | – name: Institut Català de Paleoecologia Humana i Evolució Social (IPHES), SPAIN – name: The Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, Florida, United States of America |
| Author_xml | – sequence: 1 givenname: Andrei P. orcidid: 0000-0001-6372-5904 surname: Kirilenko fullname: Kirilenko, Andrei P. – sequence: 2 givenname: Svetlana surname: Stepchenkova fullname: Stepchenkova, Svetlana |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30388183$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | 2018 Kirilenko, Stepchenkova. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Kirilenko, Stepchenkova 2018 Kirilenko, Stepchenkova |
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| SubjectTerms | Academic disciplines Artificial intelligence Authoring Authorship Bibliometrics Biology and Life Sciences Computer and Information Sciences Data mining Data processing Dirichlet problem Gender Geographic information systems Geography Hospitality leisure & tourism studies Identification methods Library and information science Physical Sciences Probabilistic methods Research and Analysis Methods Satellite navigation systems Scholars Social dynamics Social networks Social organization Social Sciences Sociology Sports management Studies Tourism Trends |
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| Title | Tourism research from its inception to present day: Subject area, geography, and gender distributions |
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