Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies
Research trend analysis gives the research community an essential chance to learn the past to support sustainable development. The topic of evolution analysis presents a chance to position the current research, linkages among research topics, and identify the research gap. In this study, the authors...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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National Taiwan University
2023-06-01
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| Series: | Journal of Library and Information Studies |
| Subjects: | |
| Online Access: | https://jlis.lis.ntu.edu.tw/files/journal/j56-1.pdf |
| _version_ | 1797800219369275392 |
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| author | Szu-Chia Lo Chun-Chieh Wang |
| author_facet | Szu-Chia Lo Chun-Chieh Wang |
| author_sort | Szu-Chia Lo |
| collection | DOAJ |
| description | Research trend analysis gives the research community an essential chance to learn the past to support sustainable development. The topic of evolution analysis presents a chance to position the current research, linkages among research topics, and identify the research gap. In this study, the authors revisit a known mechanism, namely Girvan-Newman (GN) algorithm, and propose a new approach for research topic analysis. Based on the GN algorithm, author-keywords analysis approach, one-mode cluster, and duo GN algorithm analysis were suggested and applied to research topic analysis of Library and Information Science studies. The results show that the suggested approach could process major quantity materials and be able to avoid the possible distorted results gained by taking the small size of samples, or two-mode cluster, to ensure the validity of the results. The topics’ hierarchy structure also suggests a different approach that could be used to deconstruct the linkages among research topics for future study. |
| first_indexed | 2024-03-13T04:30:49Z |
| format | Article |
| id | doaj.art-46448ffb7cf244dbb0fc51bf5a2b129b |
| institution | Directory Open Access Journal |
| issn | 1606-7509 |
| language | English |
| last_indexed | 2024-03-13T04:30:49Z |
| publishDate | 2023-06-01 |
| publisher | National Taiwan University |
| record_format | Article |
| series | Journal of Library and Information Studies |
| spelling | doaj.art-46448ffb7cf244dbb0fc51bf5a2b129b2023-06-19T13:14:52ZengNational Taiwan UniversityJournal of Library and Information Studies1606-75092023-06-0121111610.6182/jlis.202306_21(1).001Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science StudiesSzu-Chia Lo0Chun-Chieh Wang1Department of Library and Information Science, National Taiwan University, Taipei, Taiwan; Center for Research in Econometric Theory and Applications, National Taiwan University, Taipei, TaiwanDepartment of Bio-Industry Communication and Development, National Taiwan University, Taipei, Taiwan; Center for Research in Econometric Theory and Applications, National Taiwan University, Taipei, TaiwanResearch trend analysis gives the research community an essential chance to learn the past to support sustainable development. The topic of evolution analysis presents a chance to position the current research, linkages among research topics, and identify the research gap. In this study, the authors revisit a known mechanism, namely Girvan-Newman (GN) algorithm, and propose a new approach for research topic analysis. Based on the GN algorithm, author-keywords analysis approach, one-mode cluster, and duo GN algorithm analysis were suggested and applied to research topic analysis of Library and Information Science studies. The results show that the suggested approach could process major quantity materials and be able to avoid the possible distorted results gained by taking the small size of samples, or two-mode cluster, to ensure the validity of the results. The topics’ hierarchy structure also suggests a different approach that could be used to deconstruct the linkages among research topics for future study.https://jlis.lis.ntu.edu.tw/files/journal/j56-1.pdfresearch topic evolutiongirvan-newman algorithmlibrary information science |
| spellingShingle | Szu-Chia Lo Chun-Chieh Wang Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies Journal of Library and Information Studies research topic evolution girvan-newman algorithm library information science |
| title | Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies |
| title_full | Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies |
| title_fullStr | Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies |
| title_full_unstemmed | Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies |
| title_short | Revisit Girvan-Newman Algorithm for Research Topic Analysis: An Application on Library and Information Science Studies |
| title_sort | revisit girvan newman algorithm for research topic analysis an application on library and information science studies |
| topic | research topic evolution girvan-newman algorithm library information science |
| url | https://jlis.lis.ntu.edu.tw/files/journal/j56-1.pdf |
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