2016 Fiscal Year Final Research Report
Quantitative analysis of evolutionary process for emerging research fields from the aspect of open innovation
| Project/Area Number |
26330375
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Library and information science/Humanistic social informatics
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| Research Institution | Kyoritsu Women's University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 萌芽的研究 / 計量書誌学 / データベース |
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| Outline of Final Research Achievements |
This study discussed a method to analyze the evolutionary process of emerging research for aiming to apply science technology load mapping. Co-citation analysis as a representative bibliometric technique and text analysis were compared from the aspect of basic data structure, relationship among scientific articles, stability of analysis, coverage of information retrieval, required time for creating basic data. The text analysis that can process fuzzy data was feasible for extracting knowledge in advanced disciplines. This study proposed a method using time-series networks visualizing the evolutionary process of research fields, by using relationships between conference sessions and abstracts of proceeding papers.
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| Free Research Field |
計量書誌学
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