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| A Method of Keywords Association Analysis of Scientific Papers Based on Super-network |
| Wu Lei, Liang Xiaohe, Song Hongyan |
| Agricultural Information Institute of CAAS, Beijing 100081 |
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Abstract Keywords in scientific papers present attributes of multiple types and multiple relationships. They can be modeled by a super-network with multiple levels and multiple edges. In this paper, there are 4 layers of research object keywords, experimental variety keywords, research purpose keywords, and technical method keywords. Subsequently, the super-network is applied to scientific papers of “regulation of reproductive cells and stem cells in agricultural animals.” The super-network model not only reveals the homogeneous association of a single layer, but also exhibits the hidden heterogeneous associations among multiple layers. As a result, common technical methods, experimental varieties, research objects, and research purposes in the field have been found. At the same time, technical blank spots and application blank spots of technology in the field have also been found, which are likely to be the focus of future research.
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Received: 26 February 2019
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