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Large-scale Analysis of Sleeping Beauty and Its Prince from Scopus
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- MIURA Takahiro
- School of Engineering, The University of Tokyo
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- ASATANI Kimitaka
- School of Engineering, The University of Tokyo
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- SAKATA Ichiro
- School of Engineering, The University of Tokyo
Bibliographic Information
- Other Title
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- ScopusにおけるSleeping BeautyとPrinceの大規模抽出と分野形成に関する研究
Description
<p>With the recent explosive increase in academic papers, researchers effectively understand the previous research by searching the highly cited papers in the related fields. On the other hand, new findings that overturn the concept of a field can be discovered through research that re-evaluates past research, which is different from the trend of the field. In this study, we propose a method to retrieve Sleeping Beauty, which is the paper that became cited after a long sleep, and Prince, which is the paper that triggered the discovery from Scopus whole dataset. The proposed method can exhaustively retrieve Sleeping Beauty and Prince pairs and find that Storyteller papers that cite Sleeping Beauty and Prince simultaneously propagate discontinuous discoveries to the field. Also, we found that discontinuous discoveries were more likely to be due to interdisciplinary research than to random citation though the rarity of the combination between categories had little impact.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2021 (0), 1I2GS4a02-1I2GS4a02, 2021
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390288370501774592
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- NII Article ID
- 130008051550
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed