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| Potential Knowledge Flow Detection from an Integrated Perspective of Three-Dimensional Citations: A Case Study of Gene Editing |
| Wang Feifei1, Wang Xiaohan1, Xu Shuo1, Lu Wanzhao1, Song Yanhui2 |
1.School of Economics and Management, Beijing University of Technology, Beijing 100124
2.School of Management, Hangzhou Dianzi University, Hangzhou 310018 |
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Abstract In the era of knowledge economy, the value of knowledge flow in stimulating knowledge innovation and promoting scientific and technological development has gradually become more prominent. Based on the fusion of direct-co-citation-coupling citation association, this paper mines the potential knowledge flow in the domain at the subject association level. Indicators of link prediction are used as the feature values to construct the classifier and regressor, respectively. The classifier is used to predict the knowledge flow that is not yet present but is likely to occur in the future. The regressor is mainly used to predict the current knowledge flow with low link weights, which has not attracted widespread attention but has high link weights in the future. The two-layer prediction method is comprehensive and complementary, which can more fully detect research frontiers and emerging trends in the field. Using this idea to explore the currently trending field of gene editing technology, we have obtained the potential knowledge flow and research hotspot in this field, which can serve as a reference for the future research direction for researchers.
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Received: 16 August 2019
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