Research trends in Korean medicine based on temporal and network analysis
Abstract Background Much research on Korean medicine has been recently published in Korea. The aim of this study was to determine the research trends in Korean medicine by performing a comprehensive analysis of articles that have been published in Korea using temporal and network analysis methods. M...
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| Format: | Article |
| Language: | English |
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BMC
2019-07-01
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| Series: | BMC Complementary and Alternative Medicine |
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| Online Access: | http://link.springer.com/article/10.1186/s12906-019-2562-0 |
| _version_ | 1818306578409848832 |
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| author | Sang-Kyun Kim Yongtaek Oh SeJin Nam |
| author_facet | Sang-Kyun Kim Yongtaek Oh SeJin Nam |
| author_sort | Sang-Kyun Kim |
| collection | DOAJ |
| description | Abstract Background Much research on Korean medicine has been recently published in Korea. The aim of this study was to determine the research trends in Korean medicine by performing a comprehensive analysis of articles that have been published in Korea using temporal and network analysis methods. Methods A total of 29,876 articles from 1963 to 2018 were prepared from OASIS (Oriental Medicine Advanced Searching Integrated System), the largest portal for Korean medicine. After the keywords and years were extracted from the metadata of the articles, an annual frequency matrix was obtained for the keywords. By using the matrix, the temporal trends of the keywords were analyzed by comparing the changes in similarity between the lists of keywords by year. Moreover, to analyze the relationship among research topics, a clustered network was constructed in which a node was a keyword and an edge was a similarity between two keywords. Results The temporal trend of the keywords was classified into six chronological phases. The appearance frequency of most keywords tended to increase gradually, but only the keywords “mibyeong,” “systems biology” and “korean medicine hospital” appeared in the most recent phase. The network of keywords was clustered and visualized into thirteen groups with the Gephi software. The main keywords in each group were related to effects such as “anti-inflammation” and “antioxidant,” to diseases such as “allergic rhinitis” and “diabetes” and to therapies such as “herbal acupuncture” and “herbal formula.” Conclusions The analysis of the trends determined in this study provides a systematic understanding as well as future research directions in Korean medicine to researchers. In the future, an overall analysis of the research trends in Korean medicine will be done by analyzing articles published in Korea and other countries. |
| first_indexed | 2024-12-13T06:44:43Z |
| format | Article |
| id | doaj.art-adaca602853a4257947d8dcddbfe194a |
| institution | Directory Open Access Journal |
| issn | 1472-6882 |
| language | English |
| last_indexed | 2024-12-13T06:44:43Z |
| publishDate | 2019-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Complementary and Alternative Medicine |
| spelling | doaj.art-adaca602853a4257947d8dcddbfe194a2022-12-21T23:56:19ZengBMCBMC Complementary and Alternative Medicine1472-68822019-07-011911910.1186/s12906-019-2562-0Research trends in Korean medicine based on temporal and network analysisSang-Kyun Kim0Yongtaek Oh1SeJin Nam2Future Medicine Division, Korea Institute of Oriental MedicineDepartment of Diagnostics, College of Korean Medicine, Woosuk UniversityLifeSemanticsAbstract Background Much research on Korean medicine has been recently published in Korea. The aim of this study was to determine the research trends in Korean medicine by performing a comprehensive analysis of articles that have been published in Korea using temporal and network analysis methods. Methods A total of 29,876 articles from 1963 to 2018 were prepared from OASIS (Oriental Medicine Advanced Searching Integrated System), the largest portal for Korean medicine. After the keywords and years were extracted from the metadata of the articles, an annual frequency matrix was obtained for the keywords. By using the matrix, the temporal trends of the keywords were analyzed by comparing the changes in similarity between the lists of keywords by year. Moreover, to analyze the relationship among research topics, a clustered network was constructed in which a node was a keyword and an edge was a similarity between two keywords. Results The temporal trend of the keywords was classified into six chronological phases. The appearance frequency of most keywords tended to increase gradually, but only the keywords “mibyeong,” “systems biology” and “korean medicine hospital” appeared in the most recent phase. The network of keywords was clustered and visualized into thirteen groups with the Gephi software. The main keywords in each group were related to effects such as “anti-inflammation” and “antioxidant,” to diseases such as “allergic rhinitis” and “diabetes” and to therapies such as “herbal acupuncture” and “herbal formula.” Conclusions The analysis of the trends determined in this study provides a systematic understanding as well as future research directions in Korean medicine to researchers. In the future, an overall analysis of the research trends in Korean medicine will be done by analyzing articles published in Korea and other countries.http://link.springer.com/article/10.1186/s12906-019-2562-0Korean medicineOASISTemporal analysisNetwork analysisTrend analysis |
| spellingShingle | Sang-Kyun Kim Yongtaek Oh SeJin Nam Research trends in Korean medicine based on temporal and network analysis BMC Complementary and Alternative Medicine Korean medicine OASIS Temporal analysis Network analysis Trend analysis |
| title | Research trends in Korean medicine based on temporal and network analysis |
| title_full | Research trends in Korean medicine based on temporal and network analysis |
| title_fullStr | Research trends in Korean medicine based on temporal and network analysis |
| title_full_unstemmed | Research trends in Korean medicine based on temporal and network analysis |
| title_short | Research trends in Korean medicine based on temporal and network analysis |
| title_sort | research trends in korean medicine based on temporal and network analysis |
| topic | Korean medicine OASIS Temporal analysis Network analysis Trend analysis |
| url | http://link.springer.com/article/10.1186/s12906-019-2562-0 |
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