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碩士 === 國立中央大學 === 企業管理學系 === 105 === As the population aging in the world, gerontology-related researches gradually increases and almost focuses on specific fields. The objective of the study was to conduct a descriptive and trend analysis, network analysis and text mining on gerontology-related res...

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Main Authors: Po-Yu Hsu, 徐伯毓
Other Authors: Chien-Wen Shen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/70126744668821025236
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spelling ndltd-TW-105NCU051210382017-10-21T04:32:51Z http://ndltd.ncl.edu.tw/handle/70126744668821025236 none 老年學之文獻分析與文字採礦研究 Po-Yu Hsu 徐伯毓 碩士 國立中央大學 企業管理學系 105 As the population aging in the world, gerontology-related researches gradually increases and almost focuses on specific fields. The objective of the study was to conduct a descriptive and trend analysis, network analysis and text mining on gerontology-related researches published after 2000, and provide a breadth of understanding from the development of gerontology. The data used in this study were collected from the journal papers listed in Social Sciences Citation Index. Furthermore, the studies which its times cited rates were ranked as top 200 would be treated as influential studies in order to understand the correlation between different areas. Overall speaking, the research of gerontology-related had increases significantly after 2000 whereas the research which included into top 200 was mainly published before 2007. U.S. was the most productivity country from the analysis of the overall and top 200 studies, where health-related words show frequently in Author Keywords and KeyWords Plus. The most productive research subfields was psychiatry and psychology in overall analysis and top 200 analysis, respectively. The study then conducted a co-words, bibliographic coupling and co-citation analysis on the influential studies. This study chose top five Author Keywords and abstract of top 200 to conduct a text mining. Through text mining, this research can be more widely understand the scope of popular keywords, and related terms or keywords in different areas can be used by follow-up researchers. The overall analysis provides the follow-up researchers to enter the field with a breadth of knowledge for gerontology. It also gives researchers who have long been committed in this field a different approach of research trends. Chien-Wen Shen 沈建文 2016 學位論文 ; thesis 80 zh-TW
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description 碩士 === 國立中央大學 === 企業管理學系 === 105 === As the population aging in the world, gerontology-related researches gradually increases and almost focuses on specific fields. The objective of the study was to conduct a descriptive and trend analysis, network analysis and text mining on gerontology-related researches published after 2000, and provide a breadth of understanding from the development of gerontology. The data used in this study were collected from the journal papers listed in Social Sciences Citation Index. Furthermore, the studies which its times cited rates were ranked as top 200 would be treated as influential studies in order to understand the correlation between different areas. Overall speaking, the research of gerontology-related had increases significantly after 2000 whereas the research which included into top 200 was mainly published before 2007. U.S. was the most productivity country from the analysis of the overall and top 200 studies, where health-related words show frequently in Author Keywords and KeyWords Plus. The most productive research subfields was psychiatry and psychology in overall analysis and top 200 analysis, respectively. The study then conducted a co-words, bibliographic coupling and co-citation analysis on the influential studies. This study chose top five Author Keywords and abstract of top 200 to conduct a text mining. Through text mining, this research can be more widely understand the scope of popular keywords, and related terms or keywords in different areas can be used by follow-up researchers. The overall analysis provides the follow-up researchers to enter the field with a breadth of knowledge for gerontology. It also gives researchers who have long been committed in this field a different approach of research trends.
author2 Chien-Wen Shen
author_facet Chien-Wen Shen
Po-Yu Hsu
徐伯毓
author Po-Yu Hsu
徐伯毓
spellingShingle Po-Yu Hsu
徐伯毓
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author_sort Po-Yu Hsu
title none
title_short none
title_full none
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publishDate 2016
url http://ndltd.ncl.edu.tw/handle/70126744668821025236
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AT xúbóyù lǎoniánxuézhīwénxiànfēnxīyǔwénzìcǎikuàngyánjiū
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